浏览 bostonaholic 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
已收录技能
33收录技能的仓库 Stars 合计
156仓库 Forks
0平均每个技能的仓库 Stars
5同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
Security review methodology for evaluating implementation changes. Use when reviewing code changes for vulnerabilities, insecure patterns, and security best practices. Focuses on changes made during implementat...
Validates markdown files using markdownlint after writing or editing. Invoke this skill after creating or modifying any markdown file to ensure consistent formatting and zero linting violations.
Evidence-before-claims discipline for implementation completion. Use before claiming any work is complete, fixed, or passing. Run verification commands and confirm output before making success claims.
Verification-first approach to code review feedback. Use when receiving review comments during the implement phase. Evaluate suggestions rigorously before implementing - no performative agreement.
Concurrent agent dispatch for independent problems. Use when facing multiple independent tasks that can be worked on simultaneously. Reduces total time by parallelizing work that has no shared state.
Rigorous TDD methodology enforcing RED-GREEN-REFACTOR discipline. Use when implementing features or fixing bugs during the implement phase. Tests must be written before production code - no exceptions.
Root cause investigation methodology for bugs and failures. Use when encountering test failures, unexpected behavior, or errors during research or implement phases. Find the cause before attempting fixes.
Code review methodology for evaluating implementation changes. Use when reviewing code changes for quality, design, correctness, and maintainability. Focuses on changes made during implementation using Conventi...
Collaborative design methodology for creative work. Use before research or planning when requirements are unclear, multiple approaches exist, or the idea needs exploration. Refines ideas through progressive que...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。