Prepares and validates GPT-RAG umbrella releases across component repositories and the AI Landing Zone. Use for manifest pins, changelog entries, release branches, tags, and GitHub Release notes.
npx skills add https://github.com/Azure/GPT-RAG --skill multi-repo-release
Read .github/copilot-instructions.md completely before changing a release
artifact. Its branching, versioning, changelog, and release-note requirements
are authoritative.
develop using release/x.y.z.
manifest.json tag to vX.Y.Z and verify it matches the releasebranch version, changelog heading, Git tag, and GitHub Release title.
manifest.json components[] and theinfrastructure tag from ailz_tag; never copy a previous version table.
manifest.json ailz_tag, the.gitmodules infra.branch, and the recorded infra/ submodule gitlink
must identify the same validated release commit.
relevant commands and Azure deployment mode without private environment or
resource group names.
[Unreleased] with ## [vX.Y.Z] - YYYY-MM-DD for the release.CHANGELOG.md and GitHub Release notes consistent, including the fullrequired component version table.
vX.Y.Z for both the tag and GitHub Release title.main.10. Re-fetch published release notes and verify headings, lists, tables, and the
absence of private gptrag-* and rg-gptrag-* validation names.
Do not publish a tag, release, package, image, or production deployment without
explicit human approval. Report incompatible pins, 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/multi-repo-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.