Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".
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Prepare a PR so a reviewer can quickly understand the intent, important files, and risk. The default goal is reviewability without behavior changes.
Only rewrite history when the user asks for it or agrees to the plan. Before rewriting:
gh pr view <PR> --json title,headRefName,baseRefName,state,commits
git fetch origin <headRefName> <baseRefName>
ORIGINAL_TREE=$(git rev-parse origin/<headRefName>^{tree})
Good commit groupings usually follow dependency order:
After rewriting, verify content identity:
echo "Original tree: $ORIGINAL_TREE"
echo "Current tree: $(git rev-parse HEAD^{tree})"
git diff origin/<headRefName> --stat
Do not push if the tree changed unintentionally.
When code behavior should stay untouched, prefer PR description and review notes:
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Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
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Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.
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Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via plugin-dev:skill-development + unslop, optionally pulling fresh evidence from recent transcripts.
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Watch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state. Claude Code analog of Cursor's built-in /babysit. Use after opening a PR when the user wants the agent to shepherd it without re-prompting.
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Vet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it. Use when you run a benchmark or report a speedup or regression you measured.
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Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', reviewing a small diff you don't trust, or a brief that asserts something about existing code ('make X public', 'X already handles Y') before you design against that assertion.
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