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meta-pytorch

@meta-pytorch source repo

21 published skills

  1. Tools · meta-pytorch bundle
    Quick start:
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  2. Fix Linting Errors · meta-pytorch
    Fix linting errors in a PR or Diff.
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  3. Worktree Env Setup · meta-pytorch
    Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow. Use when creating a new git worktree or when a worktree lacks a local .venv.
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  4. Validating Pytorch Custom Ops · meta-pytorch
    Ensures new Attention Gym eager, Triton, CuTeDSL, and external-library implementations are torch.compile-friendly and correctly registered. Use when adding or reviewing an implementation or custom kernel; covers custom_op, triton_op, fake tensors, autograd, opcheck, full-graph compilation, dynamic shapes, and CUDA Graphs.
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  5. Cutedsl Tunable Kernel Template · meta-pytorch bundle
    Adds an Attention Gym tuning adapter to a CuTeDSL op using typed input-aware configs, cached fake-tensor TVM-FFI compilation, parallel candidate compilation, and sequential GPU benchmarking. Use after the core kernel exists and needs a public default, explicit-config, or autotune path.
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  6. Create Spec · meta-pytorch
    Interview user in-depth to create a detailed spec with strict implementation details and tradeoff analysis
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  7. Release Cut · meta-pytorch
    TorchRec Release Cut Instructions
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  8. Skill Writer · meta-pytorch
    Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill for TorchRec, or needs help with SKILL.md files.
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  9. Sharding Stats · meta-pytorch
    Investigate and explain TorchRec planner sharding statistics output, especially how HBM storage is computed per table and per rank. Use when the user asks about sharding stats, storage breakdown, or memory estimation.
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  10. Gen Commitlist · meta-pytorch
    Bootstrap a new PyTorch release version in this repo by generating the categorized commit list and per-area worksheets. Use when starting a release (e.g. "gen commitlist for 2.13", "set up 2.13.0 worksheets", "generate the commits for the next release"). This is the UPSTREAM step that produces <version>/todo/result_*.md; use gen-release-notes to complete each worksheet.
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  11. Gen Final Notes · meta-pytorch
    Merge completed worksheets into the final release notes and polish them. Trigger on "gen final notes", "generate final release notes", "build final.md", "merge release notes", "finalize release notes". This is the LAST step of the release-notes pipeline, after all <version>/done/result_*.md worksheets are complete.
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  12. Gen Release Notes · meta-pytorch
    Generate PyTorch release notes for a functional area. Use when the user says "gen-release-notes", "release notes", or wants to write/complete release notes for a functional area like "aotdispatcher", "dynamo", "inductor", etc.
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  13. Process Cherry Picks · meta-pytorch
    Process cherry-picks from a release tracker issue. Trigger on "process cherry-picks", "cherry-picks", "update cherry picks".
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  14. Release Blog Features · meta-pytorch bundle
    Produce a draft PyTorch release blog by comparing two release branches (e.g., release/2.13 vs release/2.14). Use when the user asks to generate a release blog, list new features for a release, compare release branches, or draft content for pytorch.org/blog. Organizes features the way recent posts do (https://pytorch.org/blog/pytorch-2-13-release-blog/) — grouped by topic (Performance Improvements, Core Features, Distributed Training, Compilation and Export, Platform Features and Updates, Profiling and Debugging), with each entry carrying an "API Unstable" designation and a PR attribution.
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  15. Gen Patch Release Notes · meta-pytorch bundle
    Generate the GitHub release notes for a PyTorch PATCH (bug-fix) release like 2.12.1, 2.9.1, 2.7.1. Patch releases are very minimal — a short intro, an optional "Regression fixes" / "Tracked Regressions" section, and a few category buckets of cherry-picked fixes. Use when the user says "patch release notes", "gen patch release notes", "bug fix release notes", or names a patch version (X.Y.Z with Z > 0).
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  16. Categorize Miscategorized · meta-pytorch
    Distribute miscategorized PRs back to correct worksheets. Trigger on "categorize miscategorized", "distribute miscategorized", "process miscategorized".
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  17. Feature Submission Reminder · meta-pytorch bundle
    Draft a dev-discuss.pytorch.org forum post that calls for feature submissions for an upcoming PyTorch release, in the style of "Reminder — Call for Features". Use when the user asks for a release announcement, feature-submission reminder, call-for-features post, or dev-discuss post for a release. Produces a Markdown draft that merges the official key-dates timeline with the AI-identified feature list, and asks owning teams to file "Release highlight for Proposed Feature" issues.
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  18. Techdebt · meta-pytorch
    Find and remove tech debt (redundant/duplicated code), run linters, and ensure code quality in recent changes
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  19. Test Gen · meta-pytorch bundle
    Generate tests for TorchRec source files with correct patterns (unit, distributed, hypothesis), proper BUCK targets, and test utilities. Use when asked to generate tests, add test coverage, or write tests for a module.
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  20. Docstring · meta-pytorch
    Write docstrings for TorchRec functions and methods following PyTorch conventions. Use when writing or updating docstrings in TorchRec code.
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  21. Pr Review · meta-pytorch bundle
    Review TorchRec pull requests and diffs for distributed correctness, sharding safety, backward compatibility, and test coverage. Use when reviewing PRs, diffs, or when asked to review code changes.
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