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meta-pytorch AI Skills

GitHub ↗

Browse published AI skills maintained by meta-pytorch. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

8,210

Repository forks

1,278

Average repository stars per indexed skill

1,173

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

work-on-issue

meta-pytorch

Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.

GitHub

simplify

meta-pytorch

Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.

GitHub

implement

meta-pytorch

Make tests pass. Invoke after /write-tests produces failing tests.

GitHub

write-tests

meta-pytorch

Write failing tests from requirements. Invoke for each todo before /implement.

GitHub

alignment-review

meta-pytorch

Review code changes for bugs and alignment with OpenEnv principles and RFCs. Use when reviewing PRs, checking code before commit, or when asked to review changes. Implements two-tier review model.

GitHub

pre-submit-pr

meta-pytorch

Validate changes before submitting a pull request. Run comprehensive checks including lint, tests, alignment review, and RFC analysis. Use before creating a PR, when asked if code is ready for review, or before...

GitHub

rfc-check

meta-pytorch

Determine if proposed changes require an RFC. Use when planning significant changes, before starting major work, or when asked whether an RFC is needed.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.