**NEVER call memory MCP tools directly!** Use Task tool with `subagent_type: "general-purpose"` to keep main context clean.

Coder CLI commands for workspace management, templates, and platform operations

This skill should be used when CodeRabbit code review feedback needs to be processed and fixed systematically. Use after running `coderabbit --plain` to automatically save feedback, analyze issues using MCP tools, and implement minimal code fixes with proper planning.

Implement fixes for specific CodeRabbit review issues. Runs in isolated subagent context with focused task. Verifies fixes with tests before returning. Use one per issue from triage task list.

Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution

Use after completing file changes - strongest for source code (AST-aware linting, security, tests), lighter support for markdown/config. Dispatches CodeRabbit reviewer subagent. ALWAYS request review before considering work complete.

Analyze code review findings and create execution plan. Decides parallel vs sequential fixing based on issue severity and independence. Returns structured task list with clear fixer instructions.

Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution

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Analyze code for style violations, pattern compliance, and quality issues

Execute tasks using OpenAI Codex CLI and analyze results.

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.

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'.

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.

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.

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.

[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.

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.

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.

Enforce ThemeGPT complexity budgets and prevent over-engineering. Activates automatically when writing, reviewing, or refactoring code. Validates against 6 anti-patterns from SynthAI archaeology (Specification Inflation, Enterprise Pattern Obsession, Premature Abstraction, Configuration Explosion, Framework Absorption, Test Suite Inflation). Use when creating features, adding abstractions, writing tests, or configuring projects.

Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, function naming, type naming, 命名规范, 代码风格, 格式化, 最佳实践, 代码审查, 怎么命名

TypeScript monorepo patterns including contract-port architecture, dependency injection, hermetic primitive ports, and composition root. Use when creating packages, designing contracts/interfaces, implementing ports, wrapping platform primitives (Date, console, process), or testing with inline mocks.

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Guidelines and patterns for writing bash/shell scripts. Use when creating new shell scripts, bin scripts, or bash utilities. Includes script templates, header comments, error handling, and common patterns.

Enforce JavaScript/ES6+ and TypeScript coding standards including camelCase variables, PascalCase classes, and kebab-case filenames.

Expert guidance for writing well-designed, simple, maintainable code following modern software engineering practices. All rules are **mandatory** when there is valid context for their application.

Coding style, testing, and PR guidelines for the Kubb ecosystem. Use when writing or reviewing code for the Kubb ecosystem.

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.

Coding standards and best practices for implementation work

Build React applications with CopilotKit and LangGraph for AI-powered collaborative editing. Creates production-ready editor applications (text, document, or node-based) with real-time AI assistance, shared state management, and agentic workflows. Use this skill when users want to build intelligent editing interfaces with AI collaboration features.

Clerk for forced surrenders, threats, procedural irregularities, and lack of informed consent; use for Coercion_Duress queue.