swarm-coordination

Coordinate multi-agent swarm workflows with file locking and handoffs.

111|18|Updated Dec 17, 2025
One-click install
npx skills add https://github.com/dralgorhythm/claude-agentic-framework --skill swarm-coordination
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm-coordination
Source: https://github.com/dralgorhythm/claude-agentic-framework/tree/main/.claude/skills/operations/swarm-coordination
Command: npx skills add https://github.com/dralgorhythm/claude-agentic-framework --skill swarm-coordination

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides coordination patterns for parallel agent work with locks, handoffs, and state sync.

Core Features & Use Cases

  • Beads Protocols: Beads as source of truth and file locking.
  • Handoffs: Clean transitions between agents.
  • Use Case: Divide a feature into parallel streams and sync on completion.

Quick Start

Claim a file for editing and document a handoff plan.

Frequently Asked Questions about swarm-coordination

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

FAQPage Schema
How do I coordinate work across multiple Claude Code agents working in parallel?

Swarm coordination uses file locking and Beads as a source of truth to manage concurrent agent workflows. Agents claim files for editing, document handoff plans, and synchronize state through atomic changes and frequent commits, ensuring clean transitions between parallel work streams.

What is a handoff in multi-agent workflows and when do I need one?

A handoff is a clean transition of responsibility between agents working on shared tasks. Use handoffs when dividing a feature into parallel streams that must sync on completion, preventing conflicts and ensuring one agent's output becomes the next agent's input safely.

How does file locking work with Beads in swarm coordination?

File locking uses Beads as the authoritative source of truth, allowing agents to claim exclusive editing rights to files. Locks prevent concurrent modification conflicts, and agents release locks after atomic changes and commits, enabling the next agent to safely take over.

Can I use swarm coordination for tasks that require state synchronization across agents?

Yes. Swarm coordination applies to environments where agents manage shared resources and perform concurrent operations. It provides state synchronization patterns, unique session IDs, and explicit bd commands to keep agent state consistent during parallel execution.

What are the limitations of swarm coordination for distributed workflows?

Swarm coordination works best when agents operate with Beads as truth source and can perform frequent commits. It requires explicit synchronization via bd commands and may not suit workflows needing real-time streaming or where agents cannot maintain atomic change records.

Do I need testing in place before using swarm coordination?

Testing is listed as a functional requirement for swarm coordination workflows. Ensure tests are in place to validate that handoffs are clean, state synchronization works correctly, and parallel streams integrate properly after agents complete their work.