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captain

Coordinate cooperative AI implementation over tmux with a mate agent.

6|Updated Mar 4, 2026
Search Tags:#code review#git workflow#github issues#agent coordination#task delegation#multi-agent collaboration#tmux automation
One-click install
npx skills add https://github.com/bearcove/mate --skill captain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: captain
Source: https://github.com/bearcove/mate/tree/main/.claude/skills/captain
Command: npx skills add https://github.com/bearcove/mate --skill captain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The captain role solves the coordination problem of running cooperative AI work across tmux panes by letting one agent handle implementation while the captain reviews, tests, and integrates changes.

Core Features & Use Cases

  • Delegation-first workflow: Offloads implementation to mate using mate assign and structured task instructions, so the captain focuses on planning and verification.
  • Issue-driven execution: Runs an end-to-end GitHub issue workflow via mate issues, reading synced issue files and working through a chosen batch.
  • Steer-and-review loop: Uses mate wait, reads mate updates, and applies mid-task corrections with mate steer, then finalizes with acceptance when ready.
  • Git ownership and PR readiness: Keeps git management with the captain, ensuring reviews, tests, commits, and pushes are owned by the captain rather than the mate.

Quick Start

Ask the captain role to delegate an issue to mate by providing a clear task breakdown after running mate assign --issue 42 --title "Short description" via stdin.

Frequently Asked Questions about captain

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

FAQPage Schema
How do I coordinate multi-agent collaboration for code review and implementation in separate tmux panes?▼

Multi-agent collaboration for code review is coordinated by assigning implementation tasks to a mate agent while the captain agent reviews, tests, and integrates changes. The captain retains git ownership and monitors updates through a dedicated tmux pane.

Can I automate GitHub issue-driven engineering workflows with an AI agent?▼

Yes, GitHub issue-driven engineering workflows are automated by reading synced issue files, selecting a batch, and delegating implementation. The captain agent assigns issues to the mate, retrieves updates, and manages the final git commits and pushes.

What is the best way to delegate coding tasks to an AI agent while keeping git ownership?▼

Delegating coding tasks while keeping git ownership involves using structured task instructions to offload implementation to a mate agent. The captain agent focuses on planning and verification, reviewing results before handling commits and pushes.

How do I provide mid-task guidance to an AI agent executing code changes?▼

Mid-task guidance is provided by retrieving agent updates and applying corrections during execution. After reviewing the mate agent's progress, the captain agent steers the task direction and finalizes the work with an acceptance command when ready.

Does tmux automation support a steer-and-review loop for AI development?▼

Yes, tmux automation supports a steer-and-review loop by running cooperative AI agents in dedicated panes. The captain agent retrieves execution updates, applies mid-task corrections, and accepts completed work, ensuring continuous oversight over multi-step development.

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