技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
review-code【数据与研究】Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.
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Use correctness as the default lens. For large, risky, or requirement-heavy changes, add the standards and specification lenses in references/review-lenses.md. Keep each finding tied to its source; documented rules and acceptance criteria outrank personal preference.
Each finding must include:
Do not report style preferences, theoretical risks without a reachable path, or issues outside the change unless the diff materially exposes them.
Read references/review-checklist.md when the change touches APIs, data, authorization, concurrency, infrastructure, or tests.
If there are no actionable findings, say so directly and name residual unverified areas. Keep the summary shorter than the findings.