Run quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying "commit", "git commit", "save my changes", or ready to commit after making changes.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use when saying "commit", "save changes", or ready to commit after making changes.
git status
git diff --stat
npm run lint 2>&1 | tail -5
npm run typecheck 2>&1 | tail -5
npm test -- --changed --passWithNoTests 2>&1 | tail -10
git add <specific files>
git commit -m "<type>(<scope>): <summary>"
Before committing, check staged changes in production code (not test files) for:
console.log / debugger statements (suppressed in test files — see Review Suppressions)TODO(JIRA-123) is fine)Flag any issues before proceeding.
<type>(<scope>): <short summary>
<body - what changed and why>
Types: feat, fix, refactor, test, docs, chore, perf, ci, style
git add -A or git add ..Do NOT flag these during the pre-commit scan. They add noise without catching real bugs:
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Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
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Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.
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Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.
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Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".
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Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
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Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
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