double-check

Scan repo tracked files for AI slop, brittle counts, and verbose noise; resolve each finding as an atomic forward-going commit with quality-gate verification

TDD bug-fix workflow — reproduce bugs as failing tests, find root cause, fix, and verify

Take tickets to branches in isolated git worktrees — resolve Linear/GitHub issues strictly read-only, name branches by the team's own conventions, land gated commits, and fan out multiple tickets in parallel

Merge PRs via gh with merge commits matching the repo's own git history — readiness checks and CI watch before every merge, plus multi-PR runs with stack detection, rebase, and conflict resolution between merges

Clone and study your project's dependencies at the exact versions you use — source repos with version-pinned git worktrees

Profile a pytest suite, rank safe speedups with a safety-first rubric, and apply each as its own verified commit

Gain situational awareness before touching a repository — read the branch against trunk, its diff, its pull request and review threads, its linked tickets, and the project's own conventions, then report where the work stands; optionally search prior AI conversations for decisions the repository never recorded

Address code-review findings on the current branch — provenance-gated to changes the branch introduced, one finding per commit, simplest pragmatic fix, with quality gates before every commit and prompted history rewrites

Generate categorized changelog entries from branch commits and PR context; refresh or recut a branch's own entries as it evolves

Cut and bump releases with safe defaults — no push, no tag, no tag push without an explicit flag — and roll new releases out to every downstream consumer repo with CI verification