start

Orchestrate BEADS workflows for GitHub Issues with agent swarm coordination.

Updated Apr 6, 2018

Search Tags:#workflow #github #beads #agents #orchestration #epic #metaswarm

Ready to run

npx skills add https://github.com/montoyaedu/Trish --skill start-montoyaedu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: start
Source: https://github.com/montoyaedu/Trish/tree/main/.claude/plugins/metaswarm/skills/start
Command: npx skills add https://github.com/montoyaedu/Trish --skill start-montoyaedu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill coordinates a swarm of AI agents to manage tasks and issues end-to-end, from discovery to delivery.

Core Features & Use Cases

Orchestrates a BEADS epic and assigns roles to agents (Researcher, Architect, Coder, PR Shepherd, etc.) for GitHub issue lifecycle.
Supports 4-phase execution loop (IMPLEMENT, VALIDATE, ADVERSARIAL REVIEW, COMMIT) with fresh adversarial reviewers per pass.
Provides team-mode coordination when Team tools are available; otherwise uses Task mode.

Quick Start

To begin, trigger the start skill for an issue to spawn an Issue Orchestrator and begin the BEADS workflow.

Frequently Asked Questions about start

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

FAQPage Schema

How do I automate GitHub issue resolution with AI agents end-to-end?▼

Automating GitHub issue resolution is handled by spawning an Issue Orchestrator to coordinate a swarm of AI agents. The swarm plans, executes, reviews, and merges changes end-to-end using a structured BEADS workflow.

What is the BEADS workflow for GitHub issues?▼

The BEADS workflow is an automated execution loop for GitHub issues that coordinates a swarm of AI agents. It assigns roles like Researcher, Architect, and Coder to manage tasks from discovery to delivery.

How do AI agent swarms handle adversarial code reviews?▼

AI agent swarms handle adversarial code reviews by assigning fresh reviewers per pass. The workflow uses a four-phase execution loop including IMPLEMENT, VALIDATE, ADVERSARIAL REVIEW, and COMMIT to ensure quality.

Can I use AI agent orchestration for GitHub issues in team mode?▼

AI agent orchestration supports team-mode coordination when Team tools are available in the environment. If Team tools are absent, it falls back to using Task mode to manage the BEADS workflow.

What's the best way to orchestrate an epic across multiple AI agents?▼

The best way to orchestrate an epic across multiple AI agents is to trigger a start skill for a GitHub issue. This spawns an Issue Orchestrator that assigns roles and manages the BEADS workflow lifecycle.

Do I need Team tools to run AI agent orchestration for GitHub issues?▼

You do not need Team tools to run AI agent orchestration for GitHub issues. The workflow automatically uses Task mode to coordinate the swarm when Team tools are not available in the environment.