codex-code

Orchestrate multiple Codex agents to parallelize coding tasks and aggregate results.

2|Updated Feb 15, 2026

Search Tags:#automation #codex #orchestration #aggregation #swarm #git-worktrees #parallel-execution

Ready to run

npx skills add https://github.com/ZealousEar/claude-skills --skill codex-code

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codex-code
Source: https://github.com/ZealousEar/claude-skills/tree/main/claude-code/codex-code
Command: npx skills add https://github.com/ZealousEar/claude-skills --skill codex-code

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Claude-driven orchestration of multiple Codex agents to break down coding tasks, run them in parallel, and unify results, reducing time-to-delivery and cognitive load for engineers.

Core Features & Use Cases

Autonomous task decomposition: An orchestrator analyzes a coding task, splits it into subtasks, and assigns them to N Codex agents.
Parallel execution with isolation: Uses git worktrees to run agents in isolated environments, preventing conflicts and enabling scalable parallelism.
Structured results and aggregation: Enforces a JSON schema for per-agent outputs, then aggregates into a single execution report with diagnostics and summaries.

Quick Start

Activate the CodexCode skill to spawn a swarm, supply the task prompt, and merge agent outputs into a final implementation.

Frequently Asked Questions about codex-code

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

FAQPage Schema

How do I run parallel coding agents to speed up software delivery?▼

Parallel coding agents accelerate software delivery by decomposing a task into subtasks, assigning them to multiple agents, and running them simultaneously in isolated git worktrees before aggregating the unified results. This reduces time-to-delivery and cognitive load.

How does git worktree isolation work for parallel task execution?▼

Git worktree isolation works by assigning each parallel coding agent its own isolated working directory, preventing file conflicts and enabling scalable parallel execution without agents overwriting each other's changes during the orchestration flow.

Can I use an orchestrator to break down a large coding task into subtasks automatically?▼

Yes, an orchestrator can automatically break down a large coding task by analyzing the prompt, splitting it into manageable subtasks, and assigning each subtask to a separate agent for autonomous execution before merging the final outputs.

What is the best way to aggregate outputs from multiple parallel agents into a single report?▼

The best way to aggregate parallel agent outputs is by enforcing a shared JSON schema for per-agent results, then merging those structured outputs into a single execution report complete with diagnostics, summaries, and post-run validation hooks.

How do you handle errors and retries when orchestrating a swarm of coding agents?▼

Handling errors in a coding agent swarm involves structured error handling within the orchestration flow, utilizing designated resume and retry paths to recover failed subtasks, and triggering integration hooks for post-merge validation.

Do I need git worktrees to run multiple Codex agents in parallel?▼

Git worktrees are required to run multiple Codex agents in parallel because they provide the isolated environments necessary to prevent conflicts and enable scalable parallelism across the swarm during autonomous task execution.