Total 50,307 skills, Code Quality has 2284 skills
Showing 12 of 2284 skills
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
Use when the user asks to review pull requests, analyze code changes, check for security issues in PRs, or assess code quality of diffs.
Plan a non-trivial code change end-to-end — size triage (XS–XL), slicing strategy, optional parallel subagent dispatch, per-slice Implement → Test → Verify → Commit discipline. Use for any multi-file change, refactor across files, executing a planned task from any planning source, cross-cutting modification (analytics sweep / i18n / library migration), or when about to write more than ~100 lines. 也用于增量实现 / 切片落地 / 推进已规划任务 / 跨切面改动。Skip only for trivial XS edits and pure documentation / configuration changes.
Split a large ***plain module into smaller modules grouped by logical domain. The resulting modules are connected via a requires chain so that functionality is 100% preserved. Use when a module has grown too large and its functional specs span multiple distinct concerns that would be clearer as separate modules.
Analyze a functional spec to determine if it is too complex for the renderer. A spec is too complex if it would produce more than 200 lines of code changes. Use after drafting a new functional spec (during `add-functional-spec`, or per spec during `add-functional-specs`) to verify it fits within the complexity limit before inserting it.
Code review closeout for Claude Code, Codex, OpenCode, and DeepSeek TUI: local dirty changes, branch vs main, parallel tests.
Use this skill when > Configure automated code quality checks at commit time using Husky and lint-staged. Sets up pre-commit hooks for formatting (Prettier), type checking, and tests. Adapts to existing project configurations and omits missing scripts gracefully.
Use this skill when > Identify architectural friction and propose deepening opportunities — refactors that turn shallow modules into deep ones for better testability and AI-navigability. Use when improving architecture, finding refactoring opportunities, consolidating tightly-coupled modules, or making a codebase more testable.
Use when inspecting, cleaning, understanding, reproducing, or auditing academic research code repositories, especially when README commands, datasets, checkpoints, experiments, or paper claims need verification.
Generates a heat-map and metrics report of a repository based on code complexity, lack of tests, and 'TODO/FIXME' density. Use when you need to identify high-risk areas for refactoring or when planning technical debt reduction sprints.
Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.
Run large codebase migrations and multi-file refactors. Uses the Composio CLI to coordinate issue tracking, batched PRs, and CI verification while the agent executes the transforms locally across hundreds of files.