Invoke Codex CLI as a coworker for implementation, brainstorming, specs, and reviews. Use when you want parallel thinking, cheap execution, or a second opinion. Codex tokens are cheaper than yours...
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback. Also use for cross-verification, debugging, and getting alternative implementations.
Create and manage per-task isolated git clones (sandboxes) for Codex CLI sessions, with automatic branch creation and safety hooks that block committing/pushing on main/master. Use when running...
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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...
Delegate tasks to Codex CLI to save Claude context
Professional code review with auto CHANGELOG generation, integrated with Codex AI
Professional code review with auto CHANGELOG generation, integrated with Codex AI
Professional code review with auto CHANGELOG generation, integrated with Codex AI
Professional code review with auto CHANGELOG generation, integrated with Codex AI
Professional code review with auto CHANGELOG generation, integrated with Codex AI
通过自然语言调用 OpenAI Codex CLI 执行代码任务：重构、Bug 修复、测试生成、代码解释、迁移、审查、文档生成
Use OpenAI's Codex CLI to invoke GPT models from the command line. Use when you need a second AI opinion, want to verify your work, or need OpenAI-specific capabilities.
Orchestrates a dual-AI engineering loop where Claude Code plans and implements, while Codex validates and reviews, with continuous feedback for optimal code quality
Summarize huge articles (URL or local file) via a Codex CLI-driven chunk→reduce pipeline, keeping only the final short summary in context and saving it to summaries/*.md.
Run the Codex Readiness integration test. Use when you need an end-to-end agentic loop with build/test scoring.
Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md/PLANS.md.
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
Intelligently delegate code generation, boilerplate creation, and automation tasks to OpenAI Codex CLI for rapid prototyping and development.