Agent skill · Code Review & Quality

codex-cli

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, exe

majiayu000github.com/majiayu000GitHub ↗
codexclaude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill codex-cli-alfredolopez80-multi-agent-ralph-lo --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/ai-llm/codex-cli-alfredolopez80-multi-agent-ralph-lo/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

**ultrathink** - Take a deep breath. We're not here to write code. We're here to make a dent in the universe. ## The Vision Codex orchestration should feel inevitable: minimal risk, maximum clarity. ## Your Work, Step by Step 1. **Select strategy**: Model, sandbox, and reasoning effort. 2. **Prepare context**: Inject the smallest, sharpest prompt. 3. **Execute**: Run Codex with clear constraints. 4. **Validate output**: Check for correctness and scope compliance. 5. **Summarize**: Report findings and next steps. ## Ultrathink Principles in Practice - **Think Different**: Choose the safest path to insight. - **Obsess Over Details**: Respect sandbox boundaries. - **Plan Like Da Vinci**: Shape the prompt before execution. - **Craft, Don't Code**: Keep commands precise. - **Iterate Relentlessly**: Re-run with refined prompts. - **Simplify Ruthlessly**: Reduce noise and scope. # Codex CLI Integration Skill (v2.37) This skill enables Claude to orchestrate OpenAI's Codex CLI (v0.79+) with the **gpt-5.2-codex** model for code generation, review, analysis, and automated editing. Includes Context7 MCP integration for documentation access. ## When to Use This Skill **Ideal Use Cases:** - Comp

What's inside
Steps it walks through
  1. The Vision
  2. Your Work, Step by Step
  3. Ultrathink Principles in Practice
  4. When to Use This Skill
  5. Quick Start
  6. Prerequisites
  7. Model Selection
  8. Sandbox Modes
  9. Core Commands
  10. Basic Execution
  11. Suppress Thinking Tokens
  12. Session Resume
  13. JSON Output
  14. Orchestration Patterns
Ships with 1 file
  • metadata.json
Commands it runs
codex --version  # Should show v0.50.0+
codex  # Interactive login via ChatGPT account
Read-only analysis (default)
codex exec -m gpt-5.2-codex "analyze src/auth for security issues"
Code editing (workspace-write)
codex exec -m gpt-5.2-codex --full-auto "fix bug in login.py"
With reasoning effort
codex exec -m gpt-5.2-codex --config model_reasoning_effort=high "complex analysis"
Skip git check (non-git directories)
codex exec --skip-git-repo-check "analyze code"
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About this skill
What does the codex-cli skill do?

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, exe

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill codex-cli-alfredolopez80-multi-agent-ralph-lo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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