Agent Coordinator

Tools & Infrastructure 💻 Python ⚖️ MIT 🟢 Actively maintained
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Agent Coordinator is a skill for Codex that structures complex jobs into a clear plan with accountable parts and a checked, recoverable result. It helps developers keep long tasks understandable, track progress, and resume after interruptions. It is for developers using Codex on multi-step projects that need verification.

✨ Key features

  • Creates a clear plan from request to finish.
  • Breaks work into accountable parts with owners.
  • Checks results with positive and negative proof commands.
  • Recovers from interruptions using private state.
  • Supports optional parallel agents or inline execution.
  • Read-only state inspection commands for workflows.

🎯 Use cases

  • Implementing a feature with multiple dependent steps.
  • Diagnosing intermittent test failures without changing production.
  • Resuming an interrupted schema migration workflow.
  • Comparing architecture options with evidence and tradeoffs.
  • Reviewing a project README for confusing steps without editing files.

📦 Installation

🧰 Requirements: Requires Python 3.11 or newer and Codex; no third-party runtime packages. Installation is per-user and does not change Codex settings.

Ask Codex to follow the repository-owned installer:

Install https://github.com/alanhoff/agent-coordinator by following INSTALL.md

The procedure clones the repository to a temporary directory, records its commit, copies the self-contained skill/ directory for the current user, removes the temporary checkout, and reports the installed path and source commit. It replaces an existing destination only when that destination identifies itself as Coordinator.

🚀 Usage

In a project, send this starter prompt:

$coordinator Review this project's README for confusing setup steps. Do not edit files.
Return the three highest-impact fixes, cite the evidence for each, and confirm that no files changed.

A successful response meets three conditions:

  1. Three fixes are ranked by impact.
  2. Each fix cites evidence from the project.
  3. The response confirms that no files changed.

⚠️ Good to know

Coordinator does not invoke or inspect a version-control system, and it requires explicit invocation with the $coordinator prefix.

❓ FAQ

Does this require multiple agents?

No. When extra agent capacity is available, Coordinator can send independent pieces to separate workers; otherwise it completes them inline, one at a time.

Do I need to invoke it explicitly?

Yes. The documented prompt pattern starts each coordinated task with $coordinator; installation itself only places the skill and changes no settings.

What does it add to my project or settings?

It adds no persistent Coordinator-owned file to the target project and does not edit Codex settings or global custom-agent profiles. During initialization, it creates and removes one private-name file solely to detect the repository filesystem's case behavior.

What happens if work is interrupted?

A new Coordinator run can resume from private state. It marks work that may still be active for reconciliation before retrying, preserves completed evidence, and avoids starting an uncertain step twice.

📊 Repository

Stars★ 0
Forks🍴 0
Open issues🐛 2
Last commit🕒 Sep 1, 2026
Created📅 Aug 2026
Language💻 Python
License⚖️ MIT

🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.