doc-generator
コードからドキュメントを自動生成するスキル。関数やクラスのJSDoc/TSDocコメント、README、APIリファレンスなどを生成する際に使用します。
Script and automate repetitive tasks and workflows.
コードからドキュメントを自動生成するスキル。関数やクラスのJSDoc/TSDocコメント、README、APIリファレンスなどを生成する際に使用します。
Execute data-driven refactorings from data-driven-refactor reports. Use this when the user wants to implement data extraction recommendations by creating data files and refactoring scripts.
Generate Konveyor analyzer migration rules from migration guides using AI
Use when reviewing code for AI-generated quality issues, detecting patterns of low-quality AI output, or auditing codebases with significant AI-assisted development. Provides systematic detection, prevention, and remediation strategies with human oversight and CI/CD integration. Triggers on "AI-generated code", "code quality", "AI slop", "review code", "detect AI patterns", "audit codebase", "quality issues", "slopsquatting", "hallucinated packages".
Enforces company voice, tone, and formatting standards across all outputs. Acts as the semantic constitution for documentation, code comments, and external communications.
Create a template file for human reviewers to write free-form feedback before AI code review.
Detects AI writing patterns and fixes them. Use when reviewing any written output, including docs, READMEs, messages, PRDs. Based on Wikipedia's AI Cleanup patterns.
Automatically generate comprehensive AGENTS.md files that teach AI agents how to work with a repository's structure, conventions, and guidelines
Detects AI writing patterns and fixes them. Use when reviewing any written output, including docs, READMEs, messages, PRDs. Based on Wikipedia's AI Cleanup patterns.
AI-powered code generation toolkit (UV scripts migrated to builder-skill-uvscript)
AUTOMATICALLY run Codex review after writing security-sensitive code (auth, crypto, SQL) - get a second opinion from OpenAI Codex
Synchronizes prompt files (agents, rules, commands) from the skill's prompts directory to both GitHub Copilot and OpenCode global configuration directories. Use when the user wants to update their AI editor prompt libraries.
Multi-agent spec review with parallel Claude/OpenCode reviewers. Use after spec-create or standalone via /spec.review.
Get a second opinion from OpenAI Codex CLI for plan reviews, code reviews, architecture decisions, and hard problems. Use when you need external validation, want to compare approaches, or are stuck on a difficult problem.
Framework for bouncing code reviews between multiple AI models (Claude, Gemini, DeepSeek, GPT, etc.) to get comprehensive analysis. Use when user wants multiple AI perspectives on code, architecture decisions, or technical reviews. Triggers on "get other AI opinions", "review with multiple AIs", "bounce ideas off other AI", "multi-AI review", or "collaborative AI review".
AI-assisted code generation workflows, prompting strategies, and best practices for working with Claude Code
Generate Ralph-compatible prompts for single implementation tasks. Creates prompts with clear completion criteria, automatic verification, and TDD approach. Use when creating prompts for bug fixes, single features, refactoring tasks, or any focused implementation that can be completed in one session.
Use when user asks about version controlling ~/.claude directory or syncing Claude Code settings across machines. Provides git setup instructions and .gitignore patterns to track only portable settings while excluding logs, session data, and machine-specific plugin metadata. Invoke before initializing git in ~/.claude to prevent committing non-portable data.
Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.
Enterprise-ready web development for Next.js 16, React, and TypeScript incorporating Kaizen (continuous improvement) and Monozukuri (meticulous craftsmanship) principles. Use this skill when building web applications, APIs, React components, Next.js projects, or when the user requests clean, efficient, fast, simple, elegant, enterprise-grade, bulletproof, or production-ready web code. This skill enforces modern web best practices, TypeScript patterns, React optimization, security, and performance.
Common refactoring patterns and code transformations
Enforce SOLID design principles during code generation, refactors, and code review (SRP/OCP/LSP/ISP/DIP). Use when changing architecture, introducing new abstractions, reducing coupling, eliminating type-switches, or reviewing PRs for maintainability.
Build NestJS backend following Orchestrator AI patterns. Module/Service/Controller structure, A2A protocol compliance, transport types, error handling. CRITICAL: Files follow kebab-case naming. Controllers handle HTTP, Services contain business logic, Modules organize dependencies.
Autogenerate production code from disambiguated business rules (BR-*). Converts BR-* specifications into validators, constants, and logic. Use when requirements have been disambiguated into BR-*, C-*, F-* format.