beads-orchestration

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

60|4|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/dsifry/goodtogo --skill beads-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: beads-orchestration
Source: https://github.com/dsifry/goodtogo/tree/main/.claude/plugins/goodtogo/skills/beads
Command: npx skills add https://github.com/dsifry/goodtogo --skill beads-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires empty.

What problem does it solve?

This Skill coordinates a dynamic swarm of AI agents to manage BEADS epics and GitHub issues, enabling scalable end-to-end lifecycle automation across multiple agents and tasks.

Core Features & Use Cases

  • Swarm orchestration: spawn, monitor, and coordinate specialized agents (researcher, architect, coder, code-review, pr-shepherd, security-auditor, etc.) across epics and issues
  • Dependency & conflict management: detect overlapping changes, sequence migrations, and enforce task dependencies
  • End-to-end lifecycle automation: from epic creation to PR merge with automated handoffs and shepherding
  • Observability & learning: feed learnings to BEADS knowledge base and provide progress visibility to humans

Quick Start

To initiate orchestration for a GitHub Issue:

  • Add the agent-ready label to the issue to signal readiness
  • Use the Task tool to spawn an Issue Orchestrator for the issue
  • Monitor progress via BEADS dashboards or Slack notifications (through the Slack Coordinator)

Frequently Asked Questions about beads-orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents to manage GitHub issues end-to-end?

You can orchestrate a swarm of specialized AI agents to manage GitHub issues by assigning tasks like research, coding, and review, ensuring parallel and sequential task execution from epic creation to PR merge.

What is BEADS orchestration for automated issue lifecycle management?

BEADS orchestration coordinates a dynamic swarm of AI agents to manage epics and issues, enabling scalable end-to-end lifecycle automation through automated handoffs, dependency tracking, and data synchronization across multiple worktrees.

How do I start AI agent orchestration for a GitHub issue?

To start orchestration, add the 'agent-ready' label to a GitHub issue to signal readiness, then use the Task tool to spawn an Issue Orchestrator for that specific issue.

Can I track progress and receive notifications during AI agent swarm execution?

Yes, you can monitor orchestration progress and receive notifications via BEADS dashboards or Slack notifications routed through the Slack Coordinator during automated agent execution.

Does this orchestration handle task dependencies and overlapping changes across worktrees?

Yes, the orchestration manages task dependencies by detecting overlapping changes, sequencing migrations, enforcing task dependencies, and synchronizing BEADS data across multiple worktrees.

What types of specialized agents can I spawn for GitHub issue automation?

You can spawn specialized agents including researcher, architect, coder, code-review, pr-shepherd, and security-auditor to handle distinct phases of the issue lifecycle automatically.