run-team

Coordinates multiple AI agents in tmux split panes for parallel debugging and hypothesis exploration.

5|1|Updated Oct 18, 2019
One-click install
npx skills add https://github.com/Marshall-Hallenbeck/dot_files --skill run-team-marshall-hallenbeck
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-team
Source: https://github.com/Marshall-Hallenbeck/dot_files/tree/main/.claude/skills/run-team
Command: npx skills add https://github.com/Marshall-Hallenbeck/dot_files --skill run-team-marshall-hallenbeck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of managing complex, ambiguous tasks by coordinating multiple specialized agents in parallel, preventing bottlenecked linear workflows.

Core Features & Use Cases

  • Parallel Exploration: Spawns multiple agents in tmux panes to investigate different hypotheses simultaneously.
  • Real-time Steering: Allows the user to monitor and interact with specific agents directly to guide their progress.
  • Use Case: Use this when debugging a complex system failure where you need to check database queries, network latency, and application logs at the same time.

Quick Start

Use the run-team skill to investigate the cause of the recent authentication failures by checking the token validation and session store logic.

Frequently Asked Questions about run-team

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

FAQPage Schema
How do I coordinate multi-agent parallel execution for simultaneous debugging tasks?

Multi-agent parallel execution is coordinated by spawning specialized agents in separate tmux split panes, allowing simultaneous exploration of distinct technical angles or hypotheses during complex investigations.

What is the best way to debug a complex system failure by checking database queries, network latency, and application logs at the same time?

Debugging complex system failures simultaneously is achieved by spawning agent teams in tmux panes to investigate different hypotheses in parallel, preventing bottlenecked linear workflows.

Can I use tmux split panes to manage agent dependencies and synthesize output for ambiguous scenarios?

Tmux split panes manage agent dependencies and synthesize output by providing an integrated environment for task-based coordination across multiple agents exploring distinct technical angles.

How do I monitor and interact with specific agents directly to guide their progress during a parallel investigation?

Real-time steering allows you to monitor and interact with specific agents directly within tmux panes to guide their progress and manage task-based coordination throughout the investigation.

Do I need a tmux environment to facilitate complex investigation and debugging tasks with multiple agents?

A tmux environment is required to facilitate complex investigation and debugging tasks, as it provides the split pane integration necessary for managing multi-agent parallel execution and output synthesis.

When should I use multi-agent parallelism instead of linear workflows for debugging?

Multi-agent parallelism should be used for ambiguous scenarios requiring simultaneous exploration of distinct technical angles or hypotheses, preventing the bottlenecked workflows of linear debugging approaches.