clean-comments
Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
128 skills found
Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.
React composition patterns for scalable codebases. Refactor complex components, build flexible libraries, and implement compound components or React 19 architecture patterns.
Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.
Expert guide for OpenCode AI: TUI commands, CLI operations, AGENTS.md configuration, custom agent workflows, and project setup.
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Expert code review agent that performs systematic audits of git changes for SOLID violations, security vulnerabilities, performance regressions, and architectural smells.
Standardizes Fish shell configuration, scripting patterns, and system management for dotfiles environments.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.
Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.