Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
>
Expert code writer - produces clean, production-ready code
Create, manage, and optimize GitHub Codespaces cloud development environments. Configure devcontainers, manage resources, and streamline cloud-based development. Use when setting up cloud development environments, configuring devcontainers, or managing Codespaces. Triggers on codespace, devcontainer, cloud IDE, remote development, development environment, container development.
Create, manage, and optimize GitHub Codespaces cloud development environments. Configure devcontainers, manage resources, and streamline cloud-based development. Triggers on codespace, devcontainer, cloud IDE, remote development, development environment, container development.
Analyze code for style violations, pattern compliance, and quality issues
通过 Codex MCP 工具进行代码审查、算法设计、架构分析和性能优化。适用于复杂技术任务(>10行核心逻辑)、系统级设计、多约束权衡、性能瓶颈分析。触发词:review、code review、代码审查、算法设计、复杂算法、架构分析、架构评审、系统设计、性能优化、瓶颈分析、性能调优。
Consolidate Codex macOS app automation worktrees and surface actionable changes. Use for morning triage and to review recommended automations.
Ask OpenAI Codex questions about code to understand implementations, architecture, patterns, and debugging. Use when the user asks how code works, where something is implemented, what patterns are used, or needs to understand existing code. Requires Codex CLI installed.
Execute tasks using OpenAI Codex CLI and analyze results.
Use Codex CLI for sandboxed auditing, debugging, and autonomous prototyping
Setup and manage OpenAI Codex CLI authentication including ChatGPT Plus/Pro OAuth, API keys, and multi-account management. Use when configuring Codex access, switching accounts, or troubleshooting authentication.
Interactive REPL workflows with Codex CLI including session management, multimodal conversations, and automated execution. Use for extended development sessions, debugging, or collaborative problem-solving.
Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality
Dual-AI engineering loop orchestrating Claude Code (planning/implementation) and Codex (validation/review). Use when (1) complex feature development requiring validation, (2) high-quality code with security/performance concerns, (3) large-scale refactoring, (4) user requests codex-claude loop or dual-AI review. Do NOT use for simple one-off fixes or prototypes.
OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.2-codex model. Capabilities: code generation, refactoring, automated editing, parallel task execution, session management, code review, architecture analysis, and MCP integration. Actions: analyze, implement, review, fix, refactor with Codex. Keywords: Codex CLI, gpt-5.2-codex, codex exec, code generation, refactoring, parallel execution, session resume, code review, second opinion, independent review, architecture validation, Context7 MCP. Use when: delegating complex code tasks to Codex, running multi-agent workflows, executing automated reviews, implementing features with AI assistance, resuming previous sessions, querying OpenAI documentation. Triggers: 'use codex', 'codex exec', 'run with codex', 'codex resume', 'implement with codex', 'review with codex', 'codex docs'.
Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
Single source of truth and librarian for ALL OpenAI Codex CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Codex CLI documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
OpenAI Codex CLI fundamentals for code analysis, review, and validation. Use when (1) executing codex commands for code review/analysis, (2) configuring models (gpt-5.2-codex/gpt-5.2/gpt-5.1-codex-max/codex-mini), sandbox modes (read-only/workspace-write), or reasoning effort (low/medium/high/xhigh), (3) managing Codex sessions with resume, (4) integrating Codex into automation scripts. Do NOT use for orchestration patterns (use codex-claude-loop instead).
Code review skill with rubric and templates
This skill provides a systematic, iterative code review workflow powered by zen mcp's codex tool. It automatically checks recently modified code files against project standards (CLAUDE.md requirements
Manages OpenAI Codex CLI configuration including config.toml settings, MCP servers, model profiles, sandbox modes, approval policies, and skill paths. Use when configuring Codex CLI, setting up model profiles, managing MCP server integrations, troubleshooting Codex configuration issues, or optimizing Codex for different workflows.
Automatically delegate complex, logic-intensive tasks to OpenAI Codex CLI via `codex exec --full-auto`. Claude Code uses this skill to invoke Codex for complex backend logic, intricate algorithms, or persistent bugs. Enables seamless AI-to-AI collaboration where Claude Code analyzes and Codex executes.
codex-design
Git-aware development workflows with Codex CLI including intelligent commits, PR automation, branch management, and diff application. Use for git operations, PR reviews, or automated git workflows.
Delegiere Aufgaben an OpenAI Codex CLI im Headless-Mode. Nutzt ChatGPT Subscription (KEIN API Key). Nur Workspace-Zugriff, KEIN System-Zugriff. Auto-Accept mit --full-auto. Web-Recherche mit --search.
Invoke OpenAI Codex CLI with the correct configuration for autonomous code generation. Use when you need Codex to generate or regenerate code files, implement features, or execute multi-step coding tasks.
Streamlined autonomous workflow for Codex that integrates issue planning, queue management, and solution execution in a single stateful Skill. Supports batch processing with minimal queue overhead and
Use Codex CLI in full-auto mode to fix issues iteratively until tests pass. Autonomous debugging and test-fixing loop with sandbox safety.
[DEPRECATED] Run multiple AI agent threads in parallel with bounded concurrency. Use evolving-workflow instead.
[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.
Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md/PLANS.md.
Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation for complex tasks, refactors, or API changes.
Automated code review workflow using OpenAI Codex CLI. Implements iterative fix-and-review cycles until code passes validation or reaches iteration limit. Use when building features requiring automated code validation, security checks, or quality assurance through Codex CLI.
Use Codex CLI sandbox mode to try risky changes safely. Isolated experimentation with network disabled and directory restrictions.
Run code in Codex fully isolated sandbox - network disabled, CWD only, Seatbelt/Docker isolation
Investigate the @openai/codex-sdk API by first inspecting installed .d.ts typings in node_modules, then cloning and searching the github.com/openai/codex repo for source/docs. Use for questions about Codex SDK API surface, types, response formats, threads/runs, or debugging codex-sdk behavior.
Search the web using OpenAI Codex CLI to find current documentation, best practices, solutions, and technical information. Use when the user needs to research libraries, find API documentation, troubleshoot errors, or learn about new technologies. Requires Codex CLI installed.
Codex CLI用のスキル作成ガイド。YAML frontmatter、ディレクトリ構造、ベストプラクティスを解説。Use when creating new Codex skills, updating existing skills, or learning about Codex skill development.
Helps you to run a subagent using codex exec
Execute and manage Codex CLI tools including file operations, shell commands, web search, and automation patterns. Use for automated workflows, tool orchestration, and full automation with permission bypass.
Validate architecture/plan quality via claude-delegator (Plan Reviewer expert). Use after writing context.md for complex feature/refactor work.
Zero Data Retention mode for sensitive/proprietary code - no code stored on OpenAI servers
OpenAI Codex CLI configuration guide for Claude. Use when users ask about: codex config, ~/.codex/config.toml, codex sandbox policies, codex approval modes, creating codex skills, codex mcp servers, codex model settings, local LLM providers, or integrating tools with Codex.
Garante padrões de código HTML limpo, semântico e consistente. Use quando criar ou modificar arquivos HTML, estruturar páginas, ou o usuário mencionar HTML, tags, atributos, ou estrutura de código.
Track and compare extensibility features across OpenCode, Codex, and Claude Code.
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Generate structured coding-aider plans that mirror the IntelliJ coding-aider plugin's plan system, complete with overview, goals, implementation checklist, and file context management.
Provides coding style rules for Python and PowerShell. Apply when writing, editing, reviewing, or debugging code.
Best practices for writing clear, actionable error messages in code.