find-bugs
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
Checklist-driven review of staged Git changes with deterministic rule scanning and semantic analysis. Use when the user wants to review staged changes, check for errors before commit, or validate code quality before committing.
Apply modern web development best practices for security, compatibility, and code quality. Use when asked to apply best practices, security audit, modernize code, code quality review, or check for vulnerabilities.
Apply modern web development best practices for security, compatibility, and code quality. Use when asked to apply best practices, security audit, modernize code, code quality review, or check for vulnerabilities.
Use when asked to review MERN stack code - comprehensive code reviewer that checks project health, security, maintainability, performance, testing, and architecture. Combines general code quality analysis with MERN-specific expertise.
Runs pants formatting, linting, and type checking on Python code, fixing issues automatically. Use when finishing implementation, before committing code, or when the user asks to format, lint, or check code quality.
Refactors PHP classes following Laravel best practices and SOLID principles. Ensures code quality, maintains functionality, improves testability, and achieves 100% code coverage. Focuses on single responsibility, DRY principle, and clean code structure.
SuperCharge for prompt creation, prompt refinement, planning hardening, option comparison, grading, multi-pass critique, and structured execution-quality improvement across direct and agentic workflows.
Remove AI-generated code slop and improve code quality. Use when you need to clean up AI-written code, remove unnecessary defensive patterns, eliminate inconsistent comments, or align code style with the rest of the codebase.
Runs linting and LSP diagnostics to list all errors and warnings in the workspace. Use when fixing linter errors, checking code quality, or when the linter-fixer subagent or user asks to see all lint/LSP issues.
Review code changes and pull requests for business fit, implementation approach, regressions, observability, security, and code quality. Use when reviewing uncommitted local code changes, reviewing the latest commit against the previous commit, or reviewing a pull request.