work-on-issue
Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.
Browse published AI skills maintained by meta-pytorch. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
8,210Repository forks
1,278Average repository stars per indexed skill
1,173Repository stars may repeat across skills from the same repository.
Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.
Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.
Make tests pass. Invoke after /write-tests produces failing tests.
Write failing tests from requirements. Invoke for each todo before /implement.
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.
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...
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.