Total 50,973 skills
Showing 12 of 50973 skills
Coding rules generator — Extract and generate coding-rules.md from project conventions. Scans CLAUDE.md, AGENTS.md, config files, existing source code, and installed skills to produce a unified coding-rules.md that spec-implement uses as a quality gate. English triggers: "Generate coding rules", "Create coding-rules.md", "Extract project rules" 日本語トリガー: 「コーディングルールを生成」「coding-rules.mdを作成」「プロジェクトルールを抽出」
This skill should be used when the user requests actions such as 'review code', 'do a code review', 'review my branch', 'review MR !1234', or 'review PR'
This skill should be used when the user asks to "manage review skills config", "update review skills", "discover review skills", "manage review presets", "validate review config", or mentions managing code review skills configuration. Use for configuration management tasks.
Provide concrete examples—existing code patterns, style samples, input/output pairs—to guide AI toward your project's conventions
This skill should be used when troubleshooting Firebase emulator issues, rules violations, function errors, auth problems, or deployment failures. Triggers on "error", "not working", "debug", "troubleshoot", "failing", "broken", "permission denied", "emulator issue".
Use when facing questions with ethical weight, multiple valid approaches, significant trade-offs, or potential for harm - before answering, convene internal voices to discern rather than conclude
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
Guide for setup arXiv paper search MCP server using Docker MCP
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Merge changes from worktrees into current branch with selective file checkout, cherry-picking, interactive patch selection, or manual merge
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification