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Detect and optionally remove code noise — debug prints, transitional/obvious comments, and commented-out code — across languages. Pairs with smart-commit.
Create a well-structured GitHub issue with AI-inferred type, labels, and duplicate detection via gh — on any repo.
A structured extended-reasoning framework — decompose, explore options, analyze deeply, apply patterns, assess risk, and produce an implementation strategy — for any stack.
Analyze a branch's scope, run the test suite, fix failures to 100% pass, then conservatively annotate the branch plan's test section — on any stack.
Validate a feature branch's readiness (plan %, tests, hygiene), finalize and archive its plan, then create or update a PR against the base branch — on any GitHub repo.
Turn a GitHub issue (or a text description) into a branch or isolated worktree with an AI-generated development plan — on any repo.
Group uncommitted changes into 2–5 atomic, semantically-prefixed commits by module, present a plan, and commit on approval — never auto-pushes. Any language.
Analyze recent commits and conservatively update a branch plan's checkboxes and phase status — marking tasks complete only at ≥80% confidence. Any repo.