codex-subagents

Launch and monitor parallel Codex subagents with per-agent logging.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/helpful-bits/plantocode --skill codex-subagents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex-subagents
Source: https://github.com/helpful-bits/plantocode/tree/main/.agents/skills/codex-subagents
Command: npx skills add https://github.com/helpful-bits/plantocode --skill codex-subagents

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the execution of multiple AI agents in parallel for complex coding tasks, ensuring organized execution, clear logging, and robust monitoring.

Core Features & Use Cases

  • Parallel Agent Execution: Launches multiple codex exec processes concurrently.
  • Structured Prompts: Enforces strict prompt formatting with scope, edits, and outcomes.
  • Monitoring & Logging: Provides real-time status, per-agent logs, and run-centric control.
  • Use Case: When tackling a large feature requiring code modifications across several files, use this skill to assign distinct sub-tasks to individual agents, allowing them to work in parallel and converge on the final implementation efficiently.

Quick Start

Use the codex-subagents skill to launch a wave of parallel agents defined in .agents/state/subagent-manifest.tsv.

Frequently Asked Questions about codex-subagents

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

FAQPage Schema
How do I run parallel Codex agents for complex coding tasks?

To run parallel Codex agents, this Skill launches multiple `codex exec` processes concurrently on your current branch. It assigns distinct sub-tasks to individual agents using strict scope prompts, allowing them to work simultaneously and converge efficiently on large feature implementations.

What is the best way to orchestrate multiple AI agents for feature development?

The best way to orchestrate multiple AI agents is by executing them in structured waves with per-agent logging. This approach enforces interactive PTY sessions and provides overseer visibility through git diff and log snapshots, ensuring organized execution and robust monitoring.

Can I use codex exec to modify multiple files at the same time?

Yes, you can use `codex exec` to modify multiple files simultaneously by assigning distinct sub-tasks to individual parallel agents. Each agent operates with explicit scope via prompt files, ensuring targeted code modifications across several files converge into a final implementation.

How do I monitor parallel subagents and track their code changes?

You monitor parallel subagents and track their code changes through real-time status updates, per-agent logs, and run-centric control. The Skill provides overseer visibility by generating git diff and log snapshots for each agent's execution wave.

Do I need a specific manifest file to launch a wave of parallel AI agents?

Yes, you need a specific manifest file to launch a wave of parallel AI agents. The Skill uses a `.agents/state/subagent-manifest.tsv` file to define and launch the parallel agents, ensuring structured prompt formatting with scope, edits, and outcomes.

Why should I use strict scope prompts when executing parallel agents?

You should use strict scope prompts when executing parallel agents to enforce structured prompt formatting and prevent scope creep. This ensures each agent focuses on its specific edits and outcomes, facilitating organized multi-agent wave execution for complex development tasks.