Prepares and validates gpt-rag-ingestion releases. Use for release branches, VERSION, changelog entries, compatible GPT-RAG pins, tags, images, and GitHub Release notes.
npx skills add https://github.com/Azure/gpt-rag-ingestion --skill service-release
Read .github/copilot-instructions.md completely before changing a release
artifact.
release/x.y.z fromdevelop.
VERSION to x.y.z without v.## [Unreleased] heading with## [vX.Y.Z] - YYYY-MM-DD; do not add a new Unreleased section on the
release branch.
VERSION, changelog, Git tag, and GitHub Release title aresynchronized.
validate the exact ingestion commit or image in that context.
by the changed behavior.
main.vX.Y.Z for the tag and release title onlywith explicit human approval.
10. Re-fetch the release and verify formatting and the absence of private
Azure environment or resource-group names.
After the release, recreate the empty Unreleased section separately on
develop. Report incompatible contracts, missing validation, or
documentation drift as blockers rather than filling gaps by assumption.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
Use when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
Use Therapeutics Data Commons through the PyTDC Python package for registry discovery, approved dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle workflows.
Take azure/service-release from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.