Loading...
Loading...
Found 207 Skills
Automated code review with security, performance, and best practices analysis. Use when reviewing pull requests or analyzing code for vulnerabilities, performance issues, or maintainability concerns.
Analyze code examples in SKILL.md files for correctness using static analysis and TypeScript compilation
Run gosec SAST scans on Go code. Detects SQL injection, hardcoded credentials, insecure TLS, command injection, and other Go security issues.
Apply and validate SOLID principles in object-oriented design
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".
Use when the user asks about internal code, implementations, patterns across repositories, or needs to understand how something is built. Triggers on "how is X implemented", "where is the code for", "find the implementation of", "what repos contain", "who wrote the code for", or code architecture questions about internal systems.
IntelliJ-IDEA MCP provides powerful IDE features including running tests, code analysis, refactoring, search, and project navigation. Use this when you need accurate Java code analysis (avoiding LSP false positives), running tests via IDEA configurations, refactoring symbols, or exploring codebase structure. Key commands: execute_run_configuration (run tests), get_file_problems (accurate errors/warnings), search_in_files_by_text (search code), list_directory_tree (view structure), get_file_text_by_path (read files), rename_refactoring (safe refactoring), execute_terminal_command (run shell commands).
Reference documentation for analyzing Claude Code conversation history files
Use when Claude Code needs a second opinion, verification, or deeper research on technical matters. This includes researching how a library or API works, confirming implementation approaches, verifying technical assumptions, understanding complex code patterns, or getting alternative perspectives on architectural decisions. The agent leverages the Codex CLI to provide independent analysis and validation.
Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes.
Comprehensive research toolkit for discovering patterns, best practices, and technical knowledge across Web search, MCP servers, GitHub repositories, and documentation. Use when researching technologies, exploring codebases, finding examples, or gathering requirements for skill development.
Style, review, and refactoring standards for Python codebases with strong typing, explicit error handling, and maintainable module boundaries. Use when Python artifacts are created, changed, or reviewed and Python-specific quality rules must be enforced.