# GitHub Skill Import Report Generated at: 2026-06-05T04:41:07.078346+00:00 ## Sources - anthropics/skills (github-anthropic): 13 skills - Stars: 146657; forks: 17295; license: None - Reason: Official Agent Skills examples from Anthropic; high GitHub attention and broad reference value. - License note: Mixed. This offline import excludes the source-available document skills; verify per-skill LICENSE files before production use. - NVIDIA/skills (github-nvidia): 137 skills - Stars: 1016; forks: 112; license: NOASSERTION - Reason: Official NVIDIA-verified agent skills catalog for CUDA-X, AI Blueprints, and platform tooling. - License note: Verify repository and per-skill license terms before production use. - seb1n/awesome-ai-agent-skills (github-community): 91 skills - Stars: 96; forks: 17; license: MIT - Reason: Community collection with 90+ self-contained Agent Skills and explicit SKILL.md standard compatibility. - License note: MIT according to the repository README; verify the LICENSE file in the downloaded source. - claude-office-skills/skills (github-office): 137 skills - Stars: 188; forks: 48; license: MIT - Reason: Business and office workflow skill collection covering legal, HR, finance, documents, sales, marketing, and operations. - License note: Verify repository license and per-skill terms before production use. ## Skill Findings - github-anthropic/claude-api from anthropics/skills/skills/claude-api - secret-token: ruby/claude-api.md - secret-token: ruby/managed-agents/README.md - secret-token: php/managed-agents/README.md - secret-token: typescript/claude-api/README.md - secret-token: typescript/managed-agents/README.md - secret-token: python/claude-api/README.md - secret-token: python/managed-agents/README.md - github-anthropic/mcp-builder from anthropics/skills/skills/mcp-builder - recursive-delete: reference/node_mcp_server.md - github-anthropic/skill-creator from anthropics/skills/skills/skill-creator - eval: eval-viewer/viewer.html - github-anthropic/web-artifacts-builder from anthropics/skills/skills/web-artifacts-builder - recursive-delete: scripts/bundle-artifact.sh - github-nvidia/accelerated-computing-cudf from NVIDIA/skills/skills/accelerated-computing-cudf - recursive-delete: evals/files/cudf-native-stream-handoff-boundary/code/run_smoke.sh - github-nvidia/cudaq-guide from NVIDIA/skills/skills/cudaq-guide - sudo: skill.md - sudo: SKILL.md - github-nvidia/cuopt-developer from NVIDIA/skills/skills/cuopt-developer - recursive-delete: skill.md - sudo: skill.md - recursive-delete: SKILL.md - sudo: SKILL.md - shell-download: benchmark/evals.json - recursive-delete: benchmark/evals.json - sudo: benchmark/evals.json - github-nvidia/cuopt-numerical-optimization-api-python from NVIDIA/skills/skills/cuopt-numerical-optimization-api-python - netcat: benchmark/evals.json - github-nvidia/cuopt-routing-api-python from NVIDIA/skills/skills/cuopt-routing-api-python - shell-download: references/server_examples.md - github-nvidia/cuopt-skill-evolution from NVIDIA/skills/skills/cuopt-skill-evolution - sudo: skill.md - sudo: SKILL.md - github-nvidia/cuopt-user-rules from NVIDIA/skills/skills/cuopt-user-rules - sudo: skill.md - sudo: SKILL.md - github-nvidia/cupynumeric-install from NVIDIA/skills/skills/cupynumeric-install - shell-download: skill.md - recursive-delete: skill.md - shell-download: SKILL.md - recursive-delete: SKILL.md - recursive-delete: references/verification_examples.md - sudo: evals/evals.json - github-nvidia/deepstream-dev from NVIDIA/skills/skills/deepstream-dev - sudo: references/troubleshooting.md - recursive-delete: references/docker_containers.md - sudo: references/tracker_config.md - sudo: references/kafka_messaging.md - github-nvidia/deepstream-import-vision-model from NVIDIA/skills/skills/deepstream-import-vision-model - recursive-delete: scripts/model/cleanup.sh - github-nvidia/digital-health-clinical-asr-finetune from NVIDIA/skills/skills/digital-health-clinical-asr-finetune - shell-download: references/stage4-finetune.md - github-nvidia/digital-health-clinical-asr-setup from NVIDIA/skills/skills/digital-health-clinical-asr-setup - secret-token: skill.md - secret-token: SKILL.md - github-nvidia/earth2studio-install from NVIDIA/skills/skills/earth2studio-install - sudo: skill.md - sudo: SKILL.md - github-nvidia/holoscan-install-conda from NVIDIA/skills/skills/holoscan-install-conda - recursive-delete: evals/evals.json - github-nvidia/holoscan-install-container from NVIDIA/skills/skills/holoscan-install-container - sudo: skill.md - sudo: SKILL.md - recursive-delete: evals/evals.json - github-nvidia/holoscan-install-debian from NVIDIA/skills/skills/holoscan-install-debian - sudo: skill.md - sudo: SKILL.md - recursive-delete: evals/evals.json - github-nvidia/holoscan-install-source from NVIDIA/skills/skills/holoscan-install-source - sudo: skill.md - sudo: SKILL.md - recursive-delete: evals/evals.json - github-nvidia/holoscan-install-wheel from NVIDIA/skills/skills/holoscan-install-wheel - sudo: skill.md - sudo: SKILL.md - recursive-delete: evals/evals.json - github-nvidia/holoscan-setup from NVIDIA/skills/skills/holoscan-setup - recursive-delete: evals/evals.json - github-nvidia/hsb-app from NVIDIA/skills/skills/hsb-app - recursive-delete: skill.md - sudo: skill.md - recursive-delete: SKILL.md - sudo: SKILL.md - recursive-delete: references/phase-details.md - github-nvidia/hsb-flash from NVIDIA/skills/skills/hsb-flash - sudo: skill.md - sudo: SKILL.md - sudo: references/flashing-infrastructure.md - sudo: references/help-text.md - recursive-delete: references/phase-details.md - sudo: references/phase-details.md - github-nvidia/hsb-setup from NVIDIA/skills/skills/hsb-setup - sudo: skill.md - sudo: SKILL.md - sudo: docs/failure-playbook.md - eval: docs/failure-playbook.md - recursive-delete: references/phase-details.md - sudo: references/phase-details.md - eval: references/phase-details.md - sudo: windows/README-WINDOWS.md - github-nvidia/hsb-test from NVIDIA/skills/skills/hsb-test - recursive-delete: skill.md - sudo: skill.md - recursive-delete: SKILL.md - sudo: SKILL.md - recursive-delete: references/phase-details.md - github-nvidia/nemo-evaluator-plugin from NVIDIA/skills/skills/nemo-evaluator-plugin - recursive-delete: evals/evals.json - github-nvidia/nemo-mbridge-mlm-bridge-training from NVIDIA/skills/skills/nemo-mbridge-mlm-bridge-training - recursive-delete: skill.md - recursive-delete: SKILL.md - recursive-delete: evals/evals.json - github-nvidia/nemo-mbridge-multi-node-slurm from NVIDIA/skills/skills/nemo-mbridge-multi-node-slurm - recursive-delete: skill.md - recursive-delete: SKILL.md - recursive-delete: references/templates.md - github-nvidia/nemo-retriever from NVIDIA/skills/skills/nemo-retriever - sudo: references/install.md - recursive-delete: evals/evals.json - github-nvidia/nemoclaw-user-configure-inference from NVIDIA/skills/skills/nemoclaw-user-configure-inference - sudo: skill.md - sudo: SKILL.md - github-nvidia/nemoclaw-user-configure-security from NVIDIA/skills/skills/nemoclaw-user-configure-security - netcat: references/best-practices.md - github-nvidia/nemoclaw-user-deploy-remote from NVIDIA/skills/skills/nemoclaw-user-deploy-remote - netcat: references/sandbox-hardening.md - github-nvidia/nemoclaw-user-get-started from NVIDIA/skills/skills/nemoclaw-user-get-started - shell-download: skill.md - sudo: skill.md - shell-download: SKILL.md - sudo: SKILL.md - sudo: references/prerequisites.md - shell-download: references/quickstart-hermes.md - shell-download: references/quickstart-details.md - shell-download: references/windows-preparation.md - github-nvidia/nemoclaw-user-manage-sandboxes from NVIDIA/skills/skills/nemoclaw-user-manage-sandboxes - shell-download: skill.md - shell-download: SKILL.md - github-nvidia/nemoclaw-user-overview from NVIDIA/skills/skills/nemoclaw-user-overview - shell-download: references/release-notes.md - sudo: references/release-notes.md - netcat: references/ecosystem.md - github-nvidia/nemoclaw-user-reference from NVIDIA/skills/skills/nemoclaw-user-reference - shell-download: references/troubleshooting.md - sudo: references/troubleshooting.md - shell-download: references/commands.md - sudo: references/commands.md - github-nvidia/nemotron-retrieval-recipes from NVIDIA/skills/skills/nemotron-retrieval-recipes - eval: skill.md - eval: SKILL.md - eval: references/rerank.md - eval: references/embed.md - recursive-delete: evals/evals.json - github-nvidia/nemotron-speech from NVIDIA/skills/skills/nemotron-speech - sudo: skill.md - sudo: SKILL.md - sudo: references/asr-custom.md - sudo: references/tts.md - sudo: references/setup.md - sudo: references/nmt.md - sudo: references/asr.md - github-nvidia/nv-segment-ctmr from NVIDIA/skills/skills/nv-segment-ctmr - eval: skill-card.md - github-nvidia/omniverse-cad-to-simready from NVIDIA/skills/skills/omniverse-cad-to-simready - shell-download: references/preflight/README.md - shell-download: references/preflight/scripts/preflight.py - github-nvidia/omniverse-realtime-viewer from NVIDIA/skills/skills/omniverse-realtime-viewer - recursive-delete: references/cloud-deployment/README.md - sudo: references/cloud-deployment/README.md - github-nvidia/physical-ai-defect-image-generation from NVIDIA/skills/skills/physical-ai-defect-image-generation - secret-token: references/setup.md - secret-token: scripts/preflight_credentials.sh - recursive-delete: assets/configs/texture_defect_generation_day0.yaml - secret-token: assets/configs/texture_defect_generation_day0.yaml - recursive-delete: assets/configs/structural_defect_generation.yaml - secret-token: assets/configs/structural_defect_generation.yaml - recursive-delete: assets/configs/texture_defect_generation_day1_manual_roi.yaml - secret-token: assets/configs/good_image_generation.yaml - recursive-delete: assets/configs/finetune.yaml - recursive-delete: assets/configs/texture_defect_generation_day1_real_alignment.yaml - recursive-delete: assets/configs/setup/setup_metal.yaml - secret-token: assets/configs/setup/setup_metal.yaml - secret-token: assets/configs/setup/setup_pretrained.yaml - recursive-delete: assets/configs/setup/setup_pcb.yaml - secret-token: assets/configs/setup/setup_pcb.yaml - recursive-delete: assets/configs/setup/setup_glass.yaml - secret-token: assets/configs/setup/setup_glass.yaml - github-nvidia/physical-ai-infrastructure-setup-and-resilient-scaling from NVIDIA/skills/skills/physical-ai-infrastructure-setup-and-resilient-scaling - sudo: components/cluster-microk8s/reference.md - netcat: components/osmo-cli/references/workflow-patterns.md - sudo: components/cluster-azure/terraform/prerequisites/install-terraform.sh - sudo: components/cluster-microk8s/scripts/preflight.sh - github-nvidia/physical-ai-neural-reconstruction from NVIDIA/skills/skills/physical-ai-neural-reconstruction - sudo: skill.md - eval: skill-card.md - sudo: SKILL.md - sudo: references/teardown.md - recursive-delete: evals/evals.json - github-nvidia/physical-ai-video-data-augmentation from NVIDIA/skills/skills/physical-ai-video-data-augmentation - secret-token: scripts/preflight_credentials.sh - github-nvidia/rag-blueprint from NVIDIA/skills/skills/rag-blueprint - recursive-delete: references/shutdown.md - github-nvidia/tilegym-adding-cutile-kernel from NVIDIA/skills/skills/tilegym-adding-cutile-kernel - recursive-delete: evals/evals.json - github-nvidia/vss-deploy-dense-captioning from NVIDIA/skills/skills/vss-deploy-dense-captioning - secret-token: skill.md - sudo: BENCHMARK.md - secret-token: SKILL.md - recursive-delete: references/deploy-rt-vlm-service.md - sudo: references/deploy-rt-vlm-service.md - netcat: references/kafka-workflows.md - github-nvidia/vss-deploy-detection-tracking-2d from NVIDIA/skills/skills/vss-deploy-detection-tracking-2d - sudo: references/troubleshooting.md - recursive-delete: references/teardown-flow.md - sudo: references/teardown-flow.md - sudo: references/platforms.md - recursive-delete: references/start-app.md - recursive-delete: references/deploy-vss-detection-tracking-2d.md - eval: references/deploy-vss-detection-tracking-2d.md - recursive-delete: references/resource-plan.md - eval: references/resource-plan.md - recursive-delete: references/apply-config.md - eval: scripts/add_streams.sh - recursive-delete: scripts/start_app_in_container.sh - eval: scripts/discover_streams.sh - recursive-delete: scripts/apply_in_container.sh - recursive-delete: scripts/fetch_resources.sh - eval: scripts/fetch_resources.sh - eval: scripts/apply_config.sh - recursive-delete: scripts/clean_engine_cache.sh - eval: scripts/load_defaults.sh - github-nvidia/vss-deploy-detection-tracking-3d from NVIDIA/skills/skills/vss-deploy-detection-tracking-3d - recursive-delete: references/teardown.md - sudo: references/teardown.md - netcat: references/troubleshooting.md - sudo: references/deploy-rtvi-cv-3d-stack.md - sudo: references/calibration-workflow.md - github-nvidia/vss-deploy-profile from NVIDIA/skills/skills/vss-deploy-profile - shell-download: skill.md - sudo: skill.md - shell-download: SKILL.md - sudo: SKILL.md - sudo: references/teardown.md - recursive-delete: references/data-directory.md - sudo: references/data-directory.md - recursive-delete: references/base.md - sudo: references/base.md - sudo: references/prerequisites.md - sudo: references/warehouse.md - recursive-delete: references/search.md - recursive-delete: references/alerts.md - sudo: references/agent-failure-modes.md - sudo: references/edge.md - sudo: references/ngc.md - github-nvidia/vss-deploy-video-embedding from NVIDIA/skills/skills/vss-deploy-video-embedding - sudo: references/troubleshooting.md - github-nvidia/vss-generate-video-calibration from NVIDIA/skills/skills/vss-generate-video-calibration - shell-download: references/sample-dataset.md - sudo: references/sample-dataset.md - sudo: references/deploy-auto-calibration-service.md - github-nvidia/vss-manage-alerts from NVIDIA/skills/skills/vss-manage-alerts - eval: skill-card.md - github-nvidia/vss-manage-video-io-storage from NVIDIA/skills/skills/vss-manage-video-io-storage - recursive-delete: references/deploy-vios-service.md - sudo: references/deploy-vios-service.md - netcat: references/deploy-vios-service.md - github-nvidia/vss-query-analytics from NVIDIA/skills/skills/vss-query-analytics - eval: skill-card.md - github-nvidia/vss-setup-behavior-analytics from NVIDIA/skills/skills/vss-setup-behavior-analytics - eval: skill.md - eval: SKILL.md - github-nvidia/vss-setup-video-analytics-api from NVIDIA/skills/skills/vss-setup-video-analytics-api - eval: skill.md - eval: SKILL.md - netcat: references/deploy-video-analytics-api-service.md - github-community/data-labeling from seb1n/awesome-ai-agent-skills/ai-ml-operations/data-labeling - secret-token: skill.md - secret-token: SKILL.md - github-community/database-backup from seb1n/awesome-ai-agent-skills/database/database-backup - recursive-delete: skill.md - eval: skill.md - recursive-delete: SKILL.md - eval: SKILL.md - github-community/ci-cd from seb1n/awesome-ai-agent-skills/devops-and-infrastructure/ci-cd - eval: skill.md - eval: SKILL.md - github-community/license-analysis from seb1n/awesome-ai-agent-skills/legal-and-compliance/license-analysis - netcat: skill.md - netcat: SKILL.md - github-office/md-to-office from claude-office-skills/skills/md-to-office - sudo: skill.md - sudo: SKILL.md - github-office/webhook-automation from claude-office-skills/skills/webhook-automation - secret-token: skill.md - secret-token: SKILL.md ## Imported Skills - github-anthropic/algorithmic-art - Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations. - github-anthropic/brand-guidelines - Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply. - github-anthropic/canvas-design - Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations. - github-anthropic/claude-api - Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML. - github-anthropic/doc-coauthoring - Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks. - github-anthropic/frontend-design - Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics. - github-anthropic/internal-comms - A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.). - github-anthropic/mcp-builder - Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). - github-anthropic/skill-creator - Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. - github-anthropic/slack-gif-creator - Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack. - github-anthropic/theme-factory - Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly. - github-anthropic/web-artifacts-builder - Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts. - github-anthropic/webapp-testing - Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. - github-nvidia/accelerated-computing-cudf - Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. - github-nvidia/aiq-deploy - | - github-nvidia/aiq-research - | - github-nvidia/cudaq-guide - CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. - github-nvidia/cuopt-developer - Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions. - github-nvidia/cuopt-install - Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. - github-nvidia/cuopt-numerical-optimization-api-c - LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++. - github-nvidia/cuopt-numerical-optimization-api-cli - LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line. - github-nvidia/cuopt-numerical-optimization-api-python - Solve LP, MILP, QP (beta) with cuOpt Python API — linear/quadratic objectives, integer variables, scheduling, portfolio, least squares. - github-nvidia/cuopt-numerical-optimization-formulation - LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API. - github-nvidia/cuopt-routing-api-python - Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python. - github-nvidia/cuopt-routing-formulation - Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface. - github-nvidia/cuopt-server-api-python - cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API. - github-nvidia/cuopt-server-common - cuOpt REST server — what it does and how requests flow. Domain concepts; no deploy or client code. - github-nvidia/cuopt-skill-evolution - After solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active — applies to every interaction. - github-nvidia/cuopt-user-rules - Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those. - github-nvidia/cupynumeric-hdf5 - >- - github-nvidia/cupynumeric-install - Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope. - github-nvidia/cupynumeric-migration-readiness - Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers. - github-nvidia/cupynumeric-parallel-data-load - Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply. - github-nvidia/dali-dynamic-mode - DALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks. - github-nvidia/data-designer - Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. - github-nvidia/deepstream-dev - NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration. - github-nvidia/deepstream-import-vision-model - > - github-nvidia/dicom-metadata-extract - Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use. - github-nvidia/dicom-series-preflight - Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance. - github-nvidia/dicom-series-to-volume - Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use. - github-nvidia/digital-health-clinical-asr-build - Stage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clinical-asr-eval). - github-nvidia/digital-health-clinical-asr-eval - Stage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr). - github-nvidia/digital-health-clinical-asr-finetune - Stage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr). - github-nvidia/digital-health-clinical-asr-setup - Stage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test. - github-nvidia/dynamo-interconnect-check - Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods. - github-nvidia/dynamo-recipe-runner - Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments. - github-nvidia/dynamo-router-starter - Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis. - github-nvidia/dynamo-troubleshoot - Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up. - github-nvidia/earth2studio-data-fetch - > - github-nvidia/earth2studio-deterministic-forecast - > - github-nvidia/earth2studio-discover - > - github-nvidia/earth2studio-install - > - github-nvidia/holoscan-install-conda - Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel. - github-nvidia/holoscan-install-container - Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs. - github-nvidia/holoscan-install-debian - Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python. - github-nvidia/holoscan-install-source - Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs. - github-nvidia/holoscan-install-wheel - Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs. - github-nvidia/holoscan-setup - Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill. - github-nvidia/hsb-app - Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs. - github-nvidia/hsb-flash - Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed. - github-nvidia/hsb-setup - Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity by pinging 192.168.0.2. Use for Holoscan Sensor Bridge setup, build, container launch, and first-connectivity bring-up. - github-nvidia/hsb-test - Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report. - github-nvidia/launch-nemo-rl - Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs. - github-nvidia/mcore-create-issue - Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure. - github-nvidia/mcore-linting-and-formatting - Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules. - github-nvidia/mcore-run-on-slurm - How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis. - github-nvidia/mcore-split-pr - Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups. - github-nvidia/mcore-testing - Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity. - github-nvidia/nemo-automodel-distributed-training - Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings. - github-nvidia/nemo-automodel-launcher-config - Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution. - github-nvidia/nemo-automodel-model-onboarding - Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation. - github-nvidia/nemo-automodel-recipe-development - Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow. - github-nvidia/nemo-data-designer-plugin - Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. - github-nvidia/nemo-evaluator-plugin - Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. - github-nvidia/nemo-mbridge-mlm-bridge-training - Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples. - github-nvidia/nemo-mbridge-multi-node-slurm - Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation. - github-nvidia/nemo-mbridge-perf-activation-recompute - Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. - github-nvidia/nemo-mbridge-perf-cpu-offloading - Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer. - github-nvidia/nemo-mbridge-perf-cuda-graphs - Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules. - github-nvidia/nemo-mbridge-perf-expert-parallel-overlap - Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP. - github-nvidia/nemo-mbridge-perf-hierarchical-context-parallel - Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. - github-nvidia/nemo-mbridge-perf-megatron-fsdp - Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. - github-nvidia/nemo-mbridge-perf-memory-tuning - Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes. - github-nvidia/nemo-mbridge-perf-moe-comm-overlap - MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling. - github-nvidia/nemo-mbridge-perf-moe-dispatcher-selection - Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work. - github-nvidia/nemo-mbridge-perf-moe-hardware-configs - Representative MoE training playbooks by hardware platform and model family. Summarizes rounded throughput bands, parallelism patterns, and common tuning stacks. - github-nvidia/nemo-mbridge-perf-moe-long-context - Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments. - github-nvidia/nemo-mbridge-perf-moe-optimization-workflow - Systematic workflow for MoE training optimization in Megatron Bridge, based on the Megatron-Core MoE paper. Covers the Three Walls framework, parallel folding, recompute strategy, dispatcher choice, and CUDA-graph bring-up. - github-nvidia/nemo-mbridge-perf-moe-vlm-training - Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments. - github-nvidia/nemo-mbridge-perf-parallelism-strategies - Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration. - github-nvidia/nemo-mbridge-perf-sequence-packing - Validate and use packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs, and applying the right CP constraints. - github-nvidia/nemo-mbridge-perf-tp-dp-comm-overlap - Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. - github-nvidia/nemo-mbridge-recipe-recommender - Recommend and customize Megatron Bridge recipes for a user's model, GPU count, and training goal. Indexes library recipes (pretrain/SFT/PEFT) and performance recipes. - github-nvidia/nemo-mbridge-resiliency - Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine. - github-nvidia/nemo-retriever - Use when the user wants to search, query, extract, transcribe, describe, quote, filter, or aggregate across documents — PDFs, scanned forms / images (`.jpg` `.png` `.tiff`), Office (`.docx` `.pptx`), text (`.html` `.txt`), audio (`.mp3` `.wav` `.m4a`), or video (`.mp4` `.mov`). Prefer this over native Read / Grep for multi-file or non-PDF corpora. Not for: editing files, web browsing, single-file plain-text lookups, fine-tuning. - github-nvidia/nemo-rl-auto-research - Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes. - github-nvidia/nemo-rl-brev-etiquette - Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev. - github-nvidia/nemo-rl-docs - Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation. - github-nvidia/nemo-rl-session-memory - Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review. - github-nvidia/nemoclaw-user-agent-skills - Describes the agent skills shipped with NemoClaw and how to access them by cloning the repository. Use when users ask about AI agent support, coding assistant integration, or the .agents/skills/ directory. Trigger keywords - nemoclaw agent skills, ai coding assistant, cursor, claude code, copilot. - github-nvidia/nemoclaw-user-configure-inference - Connects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-compatible local model server with NemoClaw. Trigger keywords - nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint, switch nemoclaw inference model, change inference runtime, nemoclaw additional model, nemoclaw sub-agent model, openclaw sub-agent, agents.list, sessions_spawn, vlm-demo, nemoclaw tool calling, ollama tool calls, vllm tool-call-parser, raw json in tui, nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing. - github-nvidia/nemoclaw-user-configure-security - Presents a risk framework for every configurable security control in NemoClaw. Use when evaluating security posture, reviewing sandbox security defaults, or assessing control trade-offs. Trigger keywords - nemoclaw security best practices, sandbox security controls risk framework, nemoclaw credential storage, openshell provider, api key security, openclaw security controls, nemoclaw security boundary, prompt injection, tool access control. - github-nvidia/nemoclaw-user-deploy-remote - Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the preferred installer plus onboard flow. Use when deploying NemoClaw to a remote VM, onboarding a Brev instance, or migrating away from the legacy `nemoclaw deploy` wrapper. Trigger keywords - deploy nemoclaw remote gpu, nemoclaw brev cloud deployment, nemoclaw plugins, openclaw plugins, install openclaw plugin, nemoclaw onboard from dockerfile, nemoclaw brev web ui, nemoclaw getting started, brev quickstart, nvidia nemotron agent, nemoclaw sandbox hardening, container security, docker capabilities, process limits. - github-nvidia/nemoclaw-user-get-started - Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop. - github-nvidia/nemoclaw-user-manage-policy - Adds, removes, or modifies allowed endpoints in the sandbox policy. Use when customizing network policy, changing egress rules, or configuring sandbox endpoint access. Trigger keywords - customize nemoclaw network policy, sandbox egress policy configuration, nemoclaw integration policy examples, post-install policy setup, openshell approval workflow, policy preset, nemoclaw approve network requests, sandbox egress approval tui. - github-nvidia/nemoclaw-user-manage-sandboxes - Explains operational tasks after the quickstart: listing sandboxes, status and health checks, logs, diagnostics, port forwards, multiple sandboxes, credential reset, rebuilds, network presets, upgrades, and uninstall. Trigger keywords - manage nemoclaw sandboxes, nemoclaw status, nemoclaw list, nemoclaw dashboard port, nemoclaw rebuild, nemoclaw upgrade sandboxes, nemoclaw uninstall, sandbox mutability, sandbox runtime configuration, sandbox rebuild, nemoclaw backup, nemoclaw restore, workspace backup, openshell sandbox download upload, nemoclaw messaging channels, nemoclaw telegram, nemoclaw discord, nemoclaw slack, nemoclaw wechat, nemoclaw whatsapp, openshell channel messaging, nemoclaw workspace files, soul.md, user.md, identity.md, agents.md, sandbox persistence. - github-nvidia/nemoclaw-user-monitor-sandbox - Inspects sandbox health, traces agent behavior, and diagnoses problems. Use when monitoring a running sandbox, debugging agent issues, or checking sandbox logs. Trigger keywords - monitor nemoclaw sandbox, debug nemoclaw agent issues. - github-nvidia/nemoclaw-user-overview - Explains how OpenClaw, OpenShell, and NemoClaw form the ecosystem, NemoClaw's position in the stack, what NemoClaw adds beyond the community sandbox, and when to prefer NemoClaw versus integrating OpenShell and OpenClaw directly. Use when users ask about the relationship between OpenClaw, OpenShell, and NemoClaw, or when to use NemoClaw versus OpenShell. Trigger keywords - nemoclaw ecosystem, openclaw openshell, nemoclaw vs openshell, sandboxed openclaw, how nemoclaw works, nemoclaw sandbox lifecycle blueprint, nemoclaw overview, openclaw always-on assistants, nvidia openshell, nvidia nemotron, nemoclaw release notes, nemoclaw changelog. - github-nvidia/nemoclaw-user-reference - Describes the NemoClaw plugin and blueprint architecture and how they orchestrate the OpenClaw sandbox. Use when looking up architecture, plugin structure, or blueprint design. Trigger keywords - nemoclaw architecture, nemoclaw plugin blueprint structure, nemoclaw vs openshell, which cli, nemoclaw cli, openshell cli, sandbox commands, nemoclaw cli commands, nemoclaw command reference, nemoclaw network policy, sandbox egress control operator approval, nemoclaw troubleshooting, nemoclaw debug sandbox issues. - github-nvidia/nemotron-customize - Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks. - github-nvidia/nemotron-policy-generator - Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough words or an existing policy to V2 categories, adding custom categories or topic-following rules. - github-nvidia/nemotron-retrieval-recipes - Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes. - github-nvidia/nemotron-speech - Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted. - github-nvidia/nv-generate-ct-rflow - Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review. - github-nvidia/nv-generate-mr - Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data. - github-nvidia/nv-generate-mr-brain - Used for generating synthetic brain MRI volumes with NV-Generate-CTMR rflow-mr-brain. Not for production training data. - github-nvidia/nv-generate-mr-brain-finetune - Used for finetuning NV-Generate-CTMR MR-brain diffusion UNet from a NIfTI datalist. Not for clinical or production data approval. - github-nvidia/nv-generate-vae-finetune - Used for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Not for clinical or production data approval. - github-nvidia/nv-reason-cxr - Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. - github-nvidia/nv-segment-ct - Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. - github-nvidia/nv-segment-ct-finetune - Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation. - github-nvidia/nv-segment-ctmr - Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation. - github-nvidia/omniverse-cad-to-simready - Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references. - github-nvidia/omniverse-realtime-viewer - Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents. - github-nvidia/omniverse-usd-performance-tuning - Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners. - github-nvidia/physical-ai-defect-image-generation - >- - github-nvidia/physical-ai-infrastructure-setup-and-resilient-scaling - >- - github-nvidia/physical-ai-neural-reconstruction - Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup. - github-nvidia/physical-ai-video-data-augmentation - >- - github-nvidia/physicsnemo-discover - Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch. - github-nvidia/rag-blueprint - NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more). - github-nvidia/rag-eval - >- - github-nvidia/rag-perf - >- - github-nvidia/skill-card-generator - Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities. - github-nvidia/tilegym-adding-cutile-kernel - Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration in ops.py, cuTile backend implementation, __init__.py exports, test creation, and benchmark in tests/benchmark. Use when adding, creating, or implementing a new cuTile operator/kernel in TileGym, or when asking how to register a new cuTile op. - github-nvidia/vss-ask-video - Use to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions. - github-nvidia/vss-deploy-dense-captioning - Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion. - github-nvidia/vss-deploy-detection-tracking-2d - Use to deploy, run, debug, or tear down the RTVI-CV 2D detection / tracking microservice and call its REST API. Not for VLM, embedding, or analytics — use the matching vss-* skill. - github-nvidia/vss-deploy-detection-tracking-3d - > - github-nvidia/vss-deploy-profile - Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill. - github-nvidia/vss-deploy-video-embedding - > - github-nvidia/vss-generate-video-calibration - Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Not for non-AMC calibration or runtime analytics. - github-nvidia/vss-generate-video-report - Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for real-time alerts or ad-hoc Q&A. - github-nvidia/vss-manage-alerts - Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. - github-nvidia/vss-manage-video-io-storage - Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). Not for VLM inference or search. - github-nvidia/vss-query-analytics - Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. - github-nvidia/vss-search-archive - Use to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. Not for ad-hoc Q&A or live captioning. - github-nvidia/vss-setup-behavior-analytics - Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. - github-nvidia/vss-setup-video-analytics-api - Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. - github-nvidia/vss-summarize-video - Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for live RTSP captioning or incident-range reports. - github-community/data-labeling - Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision. - github-community/hyperparameter-tuning - Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. - github-community/ml-pipeline-creation - A skill to create, manage, and automate machine learning pipelines. - github-community/model-deployment - Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. - github-community/model-training - Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing. - github-community/api-design - Design RESTful APIs with proper resource modeling, HTTP method semantics, status codes, pagination, versioning, and documentation. - github-community/api-integration - Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic. - github-community/graphql-api-design - Design GraphQL APIs with well-structured schemas, efficient resolvers, pagination, and performance patterns like DataLoader and federation. - github-community/oauth-2-0-setup - Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration. - github-community/webhook-setup - Set up webhook receivers with signature verification, idempotent event processing, retry handling, and dead letter queues for reliable event-driven integrations. - github-community/code-documentation - Automatically generate clear, comprehensive documentation for codebases — including API references, inline docstrings, README files, and usage guides. - github-community/code-review - Perform thorough code reviews on files or pull requests, checking for bugs, security vulnerabilities, performance issues, and style violations. - github-community/debugging - Systematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages. - github-community/refactoring - Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns. - github-community/testing - Generate, execute, and analyze tests for codebases, covering unit, integration, and end-to-end testing with coverage reporting. - github-community/version-control - Manage Git repositories and collaborative workflows — branching strategies, commit hygiene, conflict resolution, pull requests, hooks, and .gitignore management. - github-community/chatbot-conversation-design - Design structured, engaging chatbot conversations with robust intent handling, slot filling, disambiguation, error recovery, and graceful fallback strategies. - github-community/email-drafting - Draft professional, audience-aware emails for any purpose — cold outreach, follow-ups, customer support, internal updates, and meeting requests — with calibrated tone and clear calls to action. - github-community/meeting-transcription - Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages. - github-community/presentation-creation - Create polished, audience-tailored presentations from outlines or documents, with support for Marp, reveal.js, Google Slides, and PPTX output formats. - github-community/report-generation - Generate professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output. - github-community/context-compression - Compresses context to fit within model token limits while preserving the most critical information for the task at hand. - github-community/context-injection - Injects contextual information into prompts using structured templates to improve AI model accuracy, grounding, and task performance. - github-community/context-optimization - Optimizes the context provided to an AI model by deduplicating, filtering, reordering, and scoring information to maximize relevance and token efficiency. - github-community/context-ranking - Ranks retrieved context chunks by relevance, diversity, and utility using scoring algorithms and multi-stage pipelines to surface the best information for a given query. - github-community/context-retrieval - Retrieves and synthesizes relevant information from a knowledge base using RAG techniques to provide grounded context for a given query. - github-community/churn-analysis - Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations. - github-community/customer-feedback-analysis - Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports. - github-community/knowledge-base-article-writing - Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions. - github-community/onboarding-playbook-creation - Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. - github-community/ticket-triage - Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses. - github-community/data-analysis - Analyze datasets to extract insights through statistical methods, trend identification, hypothesis testing, and correlation analysis. - github-community/data-cleaning - Clean and preprocess datasets by handling missing values, removing duplicates, correcting types, resolving outliers, and enforcing validation schemas. - github-community/data-visualization - Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. - github-community/exploratory-data-analysis - Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling. - github-community/sql-query-generation - Generate optimized SQL queries from natural language requests, supporting SELECT, JOIN, GROUP BY, window functions, CTEs, and subqueries. - github-community/database-backup - Create, schedule, and verify database backups with support for full, incremental, and point-in-time recovery strategies. - github-community/database-migration - Create, execute, and roll back versioned database schema migrations using tools like Alembic, Prisma Migrate, Flyway, and Knex. - github-community/database-schema-design - Design normalized database schemas with tables, relationships, indexes, and constraints for any application domain. - github-community/database-seeding - Populate databases with realistic, reproducible test data for development, testing, and staging environments. - github-community/query-optimization - Analyze, diagnose, and optimize slow SQL queries using EXPLAIN plans, indexing strategies, query rewriting, and ORM tuning. - github-community/accessibility-testing - Audit web interfaces against WCAG 2.1 AA/AAA standards, identify violations, and produce actionable remediation reports with code fixes. - github-community/frontend-design - Design and build production-ready frontend interfaces with design systems, responsive layouts, accessible components, and dark mode support. - github-community/logo-design - Design professional, scalable logos with complete brand identity deliverables including color palettes, typography, format variations, and usage guidelines. - github-community/user-flow-mapping - Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys. - github-community/wireframing - Create text-based wireframes at low, mid, and high fidelity with component inventories, interaction annotations, and responsive breakpoint specifications. - github-community/ci-cd - Set up a continuous integration and continuous delivery (CI/CD) pipeline for a software project, automating builds, tests, and deployments across environments. - github-community/cloud-monitoring - Monitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observability into performance, health, and reliability. - github-community/docker-compose-setup - Set up and orchestrate multi-container Docker applications using docker-compose, including service configuration, networking, volumes, and environment management. - github-community/infrastructure-as-code - Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control. - github-community/kubernetes-deployment - Deploy, manage, and scale applications on Kubernetes clusters using manifests, Helm charts, and autoscaling configurations. - github-community/budget-planning - Create and manage budgets with variance analysis and departmental allocation - github-community/expense-categorization - Classify expenses by category, department, and tax deductibility from transaction data - github-community/financial-modeling - Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data - github-community/financial-report-generation - Generate balance sheets, cash flow statements, P&L reports, and executive financial summaries - github-community/invoice-processing - Extract, validate, and categorize invoice data against purchase orders and GL codes - github-community/compliance-checklist-generation - Generate compliance checklists for SOC2, HIPAA, PCI-DSS, and GDPR with gap analysis and remediation priorities. - github-community/contract-review - Analyze contracts for risks, obligations, key clauses, and generate structured risk reports with severity ratings. - github-community/license-analysis - Analyze open-source license compatibility, obligations, and compliance risks across project dependencies. - github-community/privacy-policy-drafting - Generate GDPR and CCPA-compliant privacy policies tailored to specific business models and data collection practices. - github-community/terms-of-service-generation - Draft Terms of Service documents for web applications, SaaS platforms, and digital marketplaces. - github-community/analytics-reporting - Generate comprehensive marketing analytics reports by collecting KPIs, analyzing trends, and delivering actionable insights with attribution modeling and funnel analysis. - github-community/content-strategy - Develop and execute a content strategy that maps content to audience needs, funnel stages, and business goals through editorial planning and performance analysis. - github-community/keyword-research - Conduct comprehensive keyword research to identify high-value search terms, map search intent, and uncover content gaps for SEO and content marketing. - github-community/seo-optimization - Optimize a webpage for search engines by analyzing on-page elements, improving technical performance, and implementing structured data for maximum visibility. - github-community/social-media-posting - Create, adapt, and schedule social media content across platforms with platform-specific formatting, engagement hooks, and strategic posting cadence. - github-community/file-organization - Automatically organizes files in a directory into a clean structure based on configurable rules — by file type, date, project, or priority — with support for duplicate detection, naming conventions, and archival strategies. - github-community/meeting-scheduler - Schedules meetings with internal and external stakeholders by parsing natural language requests, resolving time zones, checking calendar availability, proposing optimal slots, and managing invitations and RSVPs. - github-community/note-taking - Capture, organize, and retrieve notes efficiently using structured formats, tagging, and file management for meetings, ideas, research, and daily logs. - github-community/project-management - Manages software projects end-to-end — decomposing work into tasks, tracking progress across sprints, generating status reports, and integrating with tools like Jira, Linear, GitHub Issues, and Trello. - github-community/task-automation - Automate repetitive tasks and workflows using scripting, file watchers, scheduled jobs, CI triggers, and API polling to eliminate manual toil. - github-community/deep-research - Conduct in-depth, multi-step research on a given topic by decomposing queries, finding diverse sources, cross-referencing findings, and synthesizing a comprehensive report. - github-community/fact-checking - Verify the accuracy of claims and statements by extracting individual assertions, identifying authoritative sources, cross-referencing evidence, and assigning confidence-scored verdicts. - github-community/knowledge-graph-creation - Build structured knowledge graphs from unstructured text by extracting entities, mapping relationships, generating graph triples, and visualizing the result. - github-community/literature-review - Conduct a structured literature review on a given topic by defining a search strategy, applying inclusion and exclusion criteria, extracting key findings, and synthesizing results into a coherent academic review. - github-community/summarization - Summarize text using extractive, abstractive, hierarchical, and multi-document techniques, producing concise outputs at configurable detail levels. - github-community/competitive-battlecard-creation - Build sales battlecards with feature comparisons, objection handling scripts, positioning statements, and win themes for competitive deal scenarios. - github-community/crm-data-enrichment - Enrich CRM records with firmographic and contact data, filling gaps in company and person profiles to improve segmentation, routing, and outreach quality. - github-community/lead-scoring - Score and prioritize leads based on firmographic fit and behavioral engagement signals, producing ranked tiers for sales team focus. - github-community/proposal-generation - Create tailored sales proposals and RFP responses that address prospect needs, articulate solution value, and include pricing, timelines, and social proof. - github-community/sales-email-sequences - Design multi-touch outbound email sequences with personalized messaging, strategic timing cadences, and conversion-optimized copy for prospecting and re-engagement. - github-community/dependency-scanning - Scan project dependencies for known vulnerabilities, generate software bills of materials, and enforce license compliance across the software supply chain. - github-community/dynamic-application-security-testing - Perform dynamic security testing against running web applications and APIs to discover vulnerabilities through active probing and fuzzing. - github-community/security-audit - Perform a comprehensive security audit of applications and infrastructure to identify vulnerabilities, assess risk, and recommend mitigations aligned with industry standards. - github-community/static-application-security-testing - Analyze source code for security vulnerabilities using static analysis tools, custom rules, and CI-integrated scanning pipelines. - github-community/threat-modeling - Conduct structured threat modeling for software systems using established methodologies to identify, prioritize, and mitigate security threats before they are exploited. - github-community/blog-post-writing - Write high-quality, SEO-optimized blog posts in multiple formats including how-to guides, listicles, opinion pieces, and case studies, with structured outlines, hooks, and calls-to-action. - github-community/copywriting - Write compelling, persuasive marketing and sales copy using proven frameworks like AIDA, PAS, BAB, and 4Ps, with tone and voice customization, CTA optimization, and A/B variant generation. - github-community/proofreading - Proofread and correct text for grammar, spelling, punctuation, style, clarity, and consistency, with support for multiple style guides and readability analysis. - github-community/technical-writing - Write clear, concise, and accurate technical documentation including API references, user guides, tutorials, changelogs, and architecture docs, tailored to the target audience. - github-community/translation - Translate text between languages with cultural adaptation, terminology consistency, and support for multiple document types including technical docs, marketing copy, and UI strings. - github-office/skill-name - > - github-office/academic-search - Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects. - github-office/ads-copywriter - Multi-platform ad copy generation for Google Ads, Meta/Facebook, TikTok, LinkedIn with A/B testing variants - github-office/ai-agent-builder - Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns - github-office/ai-slides - Generate complete presentations with AI - from outline to polished slides - github-office/airtable-automation - Airtable database automation - views, automations, integrations, and workflow triggers - github-office/amazon-seller - Automate Amazon seller operations including inventory, orders, pricing, and advertising management - github-office/apple-shortcuts-integration - Create and trigger Apple Shortcuts for iOS/macOS automation and cross-platform workflows - github-office/applicant-screening - Screen job applications against requirements and score candidates - github-office/asana-automation - Automate Asana project management workflows, task tracking, team collaboration, and reporting - github-office/batch-convert - Batch convert documents between multiple formats using a unified pipeline - github-office/batch-processor - Process multiple documents in bulk with parallel execution - github-office/brand-guidelines-generator - Create and maintain brand style guides for consistent visual identity - github-office/browser-automation - Automate web browser interactions, scraping, testing, and workflow automation with Puppeteer/Playwright - github-office/calendar-automation - Google Calendar and Outlook automation - scheduling optimization, meeting workflows, time blocking, and Slack/Sheets integration - github-office/changelog-generator - Generate release notes from git commits, updates, or feature lists - github-office/chart-designer - Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports. - github-office/chat-with-pdf - Answer questions about PDF content, summarize, and extract information - github-office/clickup-automation - Automate ClickUp workspace management, task workflows, time tracking, and team productivity - github-office/company-research - Conduct comprehensive company research and due diligence. Analyze business model, competitive landscape, management, and market position. - github-office/competitive-analysis - Analyze competitors systematically. Compare products, features, pricing, positioning, and market strategies. Generate comprehensive competitive intelligence reports. - github-office/content-research-writer - Research topics and write content like blog posts, articles, and copy - github-office/contract-review - Analyze contracts for risks, check completeness, and provide actionable recommendations. Supports employment contracts, NDAs, service agreements, and more. - github-office/contract-template - > - github-office/cover-letter - > - github-office/crm-automation - CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization - github-office/crypto-report - Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports. - github-office/customer-success - Customer success management - onboarding, health scoring, QBRs, expansion playbooks, and retention strategies - github-office/cv-builder - > - github-office/data-analysis - Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data. - github-office/data-extractor - > - github-office/data-pipeline - Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics - github-office/database-sync - Automate database synchronization, replication, migration, and cross-platform data integration - github-office/dcf-valuation - Build Discounted Cash Flow (DCF) valuation models. Calculate intrinsic value with customizable assumptions. Generate professional valuation reports. - github-office/deep-research - Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports. - github-office/dev-slides - > - github-office/devops-automation - DevOps and IT Ops automation - CI/CD, monitoring, incident management, and infrastructure workflows - github-office/diagram-creator - Create professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more. - github-office/discord-bot - Discord bot development - community management, moderation, notifications, and AI integration - github-office/doc-parser - > - github-office/doc-pipeline - Chain document operations into reusable pipelines - github-office/docusign-automation - Automate document signing workflows, envelope management, and e-signature processes - github-office/docx-manipulation - Create, edit, and manipulate Word documents programmatically using python-docx - github-office/email-classifier - Automatically categorize emails by type, priority, and required action - github-office/email-drafter - > - github-office/email-marketing - Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics - github-office/etl-pipeline - Design and automate Extract, Transform, Load data pipelines for data integration and analytics - github-office/excel-automation - > - github-office/expense-report - > - github-office/expense-tracker - Automate expense tracking, receipt processing, approval workflows, and reimbursement management - github-office/facebook-meta-ads - Automate Facebook and Instagram advertising campaigns, audience targeting, and performance optimization - github-office/file-organizer - Organize and rename files based on content analysis - github-office/financial-modeling - Build integrated financial models with 3-statement projections. Create income statement, balance sheet, and cash flow models with proper linkages. - github-office/form-builder - Build interactive document forms and questionnaires using docassemble - github-office/gmail-workflows - Automate Gmail with intelligent workflows - attachment management, email organization, auto-archiving, and Google Drive integration - github-office/google-ads-manager - Google Ads campaign management - campaign setup, keyword research, bid optimization, and performance reporting - github-office/home-assistant-automation - Automate smart home devices and create intelligent home automation workflows with Home Assistant - github-office/hr-automation - HR workflow automation - recruiting, onboarding, employee management, and offboarding processes - github-office/html-slides - > - github-office/html-to-ppt - Convert HTML/Markdown to PowerPoint presentations using Marp - github-office/image-generation - Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases. - github-office/infographic - Design infographic layouts and content structure. Plan visual storytelling with data, icons, and text hierarchy for impactful information design. - github-office/intercom-automation - Automate Intercom customer messaging, support workflows, user engagement, and product tours - github-office/investment-memo - Write professional investment memorandums for VC, PE, or public market investments. Structure thesis, risks, and recommendations clearly. - github-office/invoice-automation - Automate invoice generation, sending, tracking, and payment reconciliation across accounting platforms - github-office/invoice-generator - Create professional invoices with proper formatting for freelancers and small businesses. Supports multiple currencies and tax calculations. - github-office/invoice-organizer - Organize, categorize, and track invoices and receipts - github-office/invoice-template - Generate professional PDF invoices from templates - github-office/jira-automation - Automate Jira project management workflows, sprint planning, issue tracking, and reporting - github-office/job-description-generator - > - github-office/layout-analyzer - > - github-office/lead-qualification - Score and qualify leads based on criteria and fit - github-office/lead-research-assistant - Research company and contact information for sales outreach - github-office/lead-routing - Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing - github-office/linear-automation - Automate Linear issue tracking, cycle planning, roadmap management, and engineering workflows - github-office/linkedin-automation - Automate LinkedIn marketing, lead generation, content publishing, and professional networking - github-office/mailchimp-automation - Automate Mailchimp email marketing campaigns, audience management, automations, and analytics - github-office/mcp-hub - Access 1200+ AI Agent tools via Model Context Protocol (MCP) - github-office/md-slides - > - github-office/md-to-office - > - github-office/meeting-notes - > - github-office/microsoft-teams-automation - Automate Microsoft Teams messaging, meetings, channels, and workflow integrations - github-office/monday.com-automation - Automate Monday.com workflows, board management, team collaboration, and cross-board integrations - github-office/n8n-workflow - Automate document workflows with n8n - 7800+ workflow templates - github-office/nda-generator - > - github-office/news-monitor - Set up news monitoring strategies, analyze news coverage, and synthesize current events. Create news digests and media analysis reports. - github-office/notion-automation - Notion database automation - sync, templates, workflows, and cross-platform integrations - github-office/obsidian-automation - Automate Obsidian knowledge management, note linking, and personal knowledge base workflows - github-office/offer-letter-generator - Create formal employment offer letters with compensation and terms - github-office/office-mcp - MCP server with 39 tools for Word, Excel, PowerPoint, PDF, OCR operations - github-office/office-to-md - > - github-office/pdf-compress - Reduce PDF file size while maintaining acceptable quality - github-office/pdf-converter - Convert PDF files to and from Word, Excel, Image, and other formats - github-office/pdf-extraction - Extract text, tables, and metadata from PDFs using pdfplumber - github-office/pdf-form-filler - Fill out PDF forms programmatically and extract form data - github-office/pdf-merge-split - Combine multiple PDFs or split into separate files - github-office/pdf-ocr-extraction - Extract text from scanned PDFs using optical character recognition - github-office/pdf-to-docx - Convert PDF files to editable Word documents using pdf2docx - github-office/pdf-watermark - Add watermarks, page numbers, headers, and footers to PDFs - github-office/pipedrive-automation - Automate Pipedrive CRM workflows including deal management, pipeline tracking, and sales reporting - github-office/podcast-automation - Automate podcast production workflows including recording, editing, publishing, and distribution - github-office/ppt-visual - Design presentation visuals and slide layouts. Create visual concepts, suggest graphics, and provide design specifications for impactful PowerPoint slides. - github-office/pptx-manipulation - > - github-office/proposal-writer - Create compelling business proposals that win deals and partnerships - github-office/quickbooks-automation - Automate QuickBooks accounting workflows including invoicing, expenses, reporting, and bank reconciliation - github-office/report-generator - Generate professional data reports with charts, tables, and visualizations - github-office/resume-tailor - > - github-office/saas-metrics - SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting - github-office/security-monitoring - Automate security monitoring, threat detection, incident response, and compliance workflows - github-office/seo-optimizer - SEO strategy and optimization - keyword research, on-page SEO, technical audits, content optimization, and rank tracking - github-office/sheets-automation - Google Sheets automation workflows - data sync, task management, reporting dashboards, and multi-platform integrations - github-office/shopify-automation - Shopify e-commerce automation - inventory management, order processing, customer workflows, and analytics - github-office/slack-workflows - Slack automation and workflow builder - notifications, standup bots, approval flows, and cross-platform integrations - github-office/smart-ocr - > - github-office/social-publisher - Multi-platform social media publishing automation - schedule, post, and track content across TikTok, Instagram, YouTube, LinkedIn, and more - github-office/spotify-automation - Automate Spotify music playback, playlist management, and audio analysis workflows - github-office/stock-analysis - Analyze stocks with fundamental and technical analysis. Supports US, China A-shares, and Hong Kong markets. Generate investment reports with key metrics. - github-office/stripe-payments - Automate Stripe payment processing, subscription management, invoicing, and financial reporting - github-office/subscription-management - SaaS subscription lifecycle management - billing, upgrades, downgrades, churn prevention, and revenue optimization - github-office/suspicious-email-analyzer - Analyze emails for phishing, scam indicators, and security threats - github-office/table-extractor - > - github-office/telegram-bot - Telegram bot development - chatbots, notifications, AI assistants, and group automation - github-office/template-engine - Auto-fill document templates with data - mail merge for any format - github-office/tiktok-marketing - TikTok content strategy, video creation workflows, posting optimization, and analytics. Based on n8n automation templates. - github-office/transcription-automation - Automate audio/video transcription, meeting notes, subtitle generation, and content processing - github-office/trello-automation - Automate Trello board management, card workflows, power-ups, and team collaboration - github-office/twilio-sms-automation - Automate SMS communications, two-way messaging, notifications, and voice workflows with Twilio - github-office/twitter-x-automation - Automate Twitter/X social media workflows including posting, engagement, analytics, and audience growth - github-office/weather-automation - Automate weather-based workflows, forecasts, alerts, and location-aware notifications - github-office/web-search - Formulate effective web search queries, analyze search results, and synthesize findings. Optimize search strategies for different types of information needs. - github-office/webhook-automation - Build and manage webhook-based integrations for real-time event processing and API connections - github-office/weekly-report - > - github-office/whatsapp-automation - WhatsApp Business automation - customer support, notifications, chatbots, and broadcast messaging - github-office/woocommerce-automation - Automate WooCommerce e-commerce operations including orders, inventory, customers, and marketing - github-office/xlsx-manipulation - Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl - github-office/youtube-automation - Automate YouTube content workflows including video management, analytics, scheduling, and channel optimization - github-office/zendesk-automation - Automate customer support workflows with Zendesk ticket management, routing, and analytics