skills.rest
montoyaedu
montoyaeduCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

start

Orchestrate BEADS workflows for GitHub Issues with agent swarm coordination.

Updated Apr 6, 2018
Search Tags:#workflow#github#beads#agents#orchestration#epic#metaswarm
One-click install
npx skills add https://github.com/montoyaedu/Trish --skill start-montoyaedu
Or copy as Structured Prompt for Agent▼
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.

Related Skills

Explore More Software Engineering Skills→
dsifrydsifry
60

beads-orchestration

Coordinate AI agents to manage BEADS epic and GitHub issue lifecycles.

Community
Advanced
FrekiManagarmFrekiManagarm

github-project-management

Automate GitHub issue triage, decomposition, and project board synchronization.

Community
Intermediate
ddteeterddteeter

agent-shepherd:resubmit-pr

Resubmit a PR with a JSON context file and supersede the previous review cycle.

Community
Advanced
eysenfalkeysenfalk

github-project-management

Manage GitHub projects with AI swarm coordination for issue tracking and sprint planning.

Community
Advanced