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codex-implement

Delegate plan implementation to Codex and summarize resulting diffs.

3|Updated Jul 4, 2020
Search Tags:#workflow#codex#claude#code-generation#ai-delegation#planning-to-implementation
One-click install
npx skills add https://github.com/mei28/dotfiles --skill codex-implement-mei28
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex-implement
Source: https://github.com/mei28/dotfiles/tree/main/.claude/skills/codex-implement
Command: npx skills add https://github.com/mei28/dotfiles --skill codex-implement-mei28

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Delegates heavy implementation work to OpenAI Codex when a plan is ready, preserving Claude's planning budget and accelerating delivery.

Core Features & Use Cases

  • Autonomous lane: embed the full plan content and run Codex in the background to generate and apply changes without real-time human input.
  • Supervised TUI lane: use a guided interactive mode with approval when needed, including live prompts and human-in-the-loop decisions.
  • Final-only MCP lane: perform small, self-contained tasks with no progress streaming when quick results are required.

Quick Start

Provide a ready plan to Codex using the autonomous, supervised, or final-only lane and summarize the resulting diff.

Frequently Asked Questions about codex-implement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I delegate code implementation from a plan to Codex?▼

You delegate code implementation by providing a ready plan or a valid .tmp/plan file to Codex via an autonomous, supervised, or final-only lane, which runs the execution and summarizes the resulting diffs.

Can I offload software engineering plan execution to Codex to save Claude's budget?▼

Yes, you can offload software engineering plan execution to Codex to conserve Claude's planning budget. The workflow delegates heavy implementation tasks to Codex and returns a summarized diff of the applied changes.

What is the difference between autonomous, supervised, and final-only lanes for AI code delegation?▼

Autonomous lanes run Codex in the background without real-time human input, supervised lanes use a guided interactive mode with live human-in-the-loop approvals, and final-only lanes perform small self-contained tasks with no progress streaming.

Do I need a valid plan file before starting implementation with Codex?▼

Yes, you need a valid plan or the latest .tmp/plan file before starting. The workflow checks for this prerequisite and reports errors if Codex is missing or the plan is unavailable.

Why does my plan execution report an error when running Codex?▼

Plan execution reports errors when Codex is missing from your environment or when a valid plan or the latest .tmp/plan file is unavailable for the workflow to process.

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