Discover databases code quality skills, compare source repositories and read the instructions for each workflow.
Validates type consistency across Rust, TypeScript, PostgreSQL boundaries. Use when reviewing code, debugging type mismatches, or validating API contracts. Triggers on: check consistency, validate types, find m...
Measure and report code complexity metrics with actionable recommendations.
Validates skills against production-level criteria with 9-category scoring. This skill should be used when reviewing, auditing, or improving skills to ensure quality standards. Evaluates structure, content, use...
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Find bugs, anti-patterns, and issues in code. Reports findings first, then offers to fix.
Performs thorough code reviews with focus on best practices, security, performance, and maintainability. Use this skill when reviewing pull requests, auditing code quality, or getting feedback on implementation...
进行系统化的代码审查，检查代码质量、安全性和性能。当用户要求审查代码、review 或检查代码时使用
Verify changes follow nearest-scoped AGENTS.md rules: group changed files by nested scope, auto-fix formatting, run lint/tests, and report violations. Use when the user wants scoped compliance checks for change...
Generate nested AGENTS.md coding guidelines per module (monorepo-aware), detect languages/tooling, ask architecture preferences, and set up missing formatters/linters (Spotless for JVM). Use when the user wants...
Keep documentation in sync with code changes across README, docs sites, API docs, runbooks, and configuration. Use when the user asks to update docs, ensure docs match behavior, or prepare docs for a release/PR...
Systematic code review workflow using zen mcp's codex tool. Use this skill when the user explicitly requests "use codex to check the code", "check if the recently generated code has any issues", or "check the c...
🔥 用 Gordon Ramsay 风格毒舌吐槽代码质量，生成搞笑且实用的代码审查报告
This skill should be used when the user asks to "review documentation", "check docs style", "review this markdown file", "check style guide compliance", "review PR documentation", or needs documentation reviewe...
Comprehensive code review methodology with severity classification and confidence thresholds
Perform structured, actionable code reviews for Python code with clear findings and suggestions.
Run the project's formatter, linters, and mypy checks in the required order, fixing issues and managing any needed stub dependencies via uv.
Swift code style conventions for clean, readable code. Use when writing Swift code to ensure consistent formatting, naming, organization, and idiomatic patterns.
L1-L4 語法和結構驗證 - 檢查 Python 語法、AST 結構、縮進格式、命名規範。 BlueMouse 17-Layer Validation Group 1。 Triggers: "syntax", "格式檢查", "naming", "PEP8"
BlueMouse 17-Layer Code Validation System - Complete Python code quality validation covering syntax, structure, function signatures, dependencies, types, logic, security, and performance. Triggers: "validate",...
Enforce 2026 folder structure standards - feature-based organization, max nesting depth, unidirectional imports. Blocks structural violations. Use when creating files or reviewing project architecture.
Comprehensive PR review with 6-7 parallel specialized agents. Use when reviewing pull requests, checking PRs, code review.
Use this skill when conducting or improving code reviews. Provides structured review processes, conventional comments patterns, language-specific checklists, and feedback templates. Use when reviewing PRs or st...
Biome 2.0+ linting and formatting for fast, unified code quality. Includes type inference, ESLint migration, CI integration, and 421 lint rules. Use when migrating from ESLint/Prettier or setting up new project...
Enforce testing best practices - AAA pattern, naming conventions, isolation, coverage thresholds. Blocks non-compliant tests. Use when writing or reviewing tests.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.