code-review
进行全面的代码审查,涵盖安全、性能与可维护性分析。适用于用户要求审查代码、排查缺陷或审计代码库的场景。
Découvrez les skills blockchain code quality, comparez leurs dépôts et consultez leurs instructions.
进行全面的代码审查,涵盖安全、性能与可维护性分析。适用于用户要求审查代码、排查缺陷或审计代码库的场景。
This skill should be used when the user asks to "configure ls-lint", "set up filename linting", "enforce naming conventions", "create .ls-lint.yml", "lint file names", "lint directory names", "file naming rules...
This skill should be used when the user asks to "review code", "review PR", "code review", "audit code", "check for bugs", "security review", "review my changes", "find issues in this code", "review the diff",...
Simplifies and refines Python code for clarity, consistency, and maintainability while preserving all functionality. Applies dignified-python standards. Focuses on recently modified code unless instructed other...
Tactical code cleanup focusing on type strictness, single responsibility, fail-fast patterns, and DRY. Detects sloppy code, workarounds, silent failures, god classes, and duplication. Use for quick code quality...
Multi-language static application security testing using Horusec with support for 18+ programming languages and 20+ security analysis tools. Performs SAST scans, secret detection in git history, and provides vu...
Dockerfile security linting and best practice validation using Hadolint with 100+ built-in rules aligned to CIS Docker Benchmark. Use when: (1) Analyzing Dockerfiles for security misconfigurations and anti-patt...
Safely remove code patterns from multiple files with validation and rollback (project)
Compress documentation while preserving execution equivalence (validation-driven approach)
Automated code review and security linting integration for CI/CD pipelines using reviewdog. Aggregates findings from multiple security and quality tools (SAST, linters, formatters) into unified code review comm...
Expert code review for quality, security, and maintainability. Use after writing or modifying code, or when user asks for review.
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Obse...
Review code written during a run, auto-fix no-brainer issues, and suggest improvements requiring confirmation. Invoked after tests pass.
Run ~/code/dotfiles/bin/review.sh to perform a multi-model review, evaluate findings, fix valid issues (with tests when possible), add clarifying comments for invalid findings, then run required checks. Use bef...
Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None),...
Systematic code review skill checking documentation quality and promoting code reuse
Universal code review - auto-detects scope from git changes, spec, commit, or brief
Tool definitions and usage patterns for code quality tools (ESLint, Prettier, tsc, linters). Agents reference this skill instead of inline tool definitions.
Tool definitions and usage patterns for codebase exploration (Glob, Grep, Read, LSP). Agents reference this skill instead of inline tool definitions.
This skill should be used when working with C++ projects, CMakeLists.txt, Ninja, clang-tidy, clang-format, GoogleTest, Catch2, or Modern C++ (C++11-23) language patterns. Provides comprehensive C++ ecosystem pa...
Install standardized flog/flay Rake tasks and a pre-commit hook that runs bundle exec rake for Ruby projects. Use when adding or normalizing code complexity and duplication checks.
Use when implementing frontend code, optimizing performance, or ensuring strict adherence to documentation/references.
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
Create VS Code Copilot custom instruction files for ui-kit. Use when defining coding standards, conventions, or context that should automatically apply to specific file patterns.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.