orchestrating-swarms

Name: orchestrating-swarms
Availability: InStock
Author: Louis

Coordinate multiple Claude agents through TeammateTool and Task systems.

Updated Aug 27, 2026

Search Tags:#automation #workflow #multi-agent #swarm #teamwork #orchestrate

Ready to run

npx skills add https://github.com/pukpuklouis/website-blackliving-ecomm --skill orchestrating-swarms

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/pukpuklouis/website-blackliving-ecomm/tree/main/.opencode/skills/orchestrating-swarms
Command: npx skills add https://github.com/pukpuklouis/website-blackliving-ecomm --skill orchestrating-swarms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating a set of Claude agents across a project to perform distributed tasks can be tedious and error-prone without a structured system. This Skill provides a scalable approach to organize teams, tasks, and inter-agent communication to accelerate complex workflows.

Core Features & Use Cases

Parallel orchestration: spawn multiple agents to work on independent tasks simultaneously, then aggregate results.
Dependency-driven pipelines: enforce task order and automatically unlock downstream work as blockers are cleared.
Self-organizing swarms: dynamically allocate work to idle agents to maximize throughput.
Use Case: coordinate a code-review sprint by creating a team, launching reviewers as teammates, collecting findings via inbox messages, and performing a synchronized shutdown when done.

Quick Start

Use Claude Code to:

Teammate({ operation: "spawnTeam", team_name: "pr-review-swarm", description: "PR review swarm" })
Task({ team_name: "pr-review-swarm", name: "security", subagent_type: "compound-engineering:review:security-sentinel", prompt: "Review PR for security issues and report findings to team-lead.", run_in_background: true })
Teammate({ operation: "requestShutdown", target_agent_id: "security" })
Teammate({ operation: "cleanup" })

Frequently Asked Questions about orchestrating-swarms

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

FAQPage Schema

How do I coordinate multiple AI agents to run parallel tasks simultaneously?▼

Multi-agent orchestration coordinates several Claude agents to execute parallel tasks simultaneously by spawning a team, assigning independent background tasks, and aggregating the collected results to accelerate complex workflows.

What is a dependency-driven pipeline for multi-agent workflow automation?▼

A dependency-driven pipeline enforces task order across multiple agents, automatically unlocking downstream work as blockers clear. This structured approach prevents race conditions and ensures sequential execution phases complete before dependent tasks start.

How do I set up a self-organizing swarm to dynamically allocate work to idle agents?▼

Self-organizing swarms dynamically allocate work to idle agents to maximize throughput. You configure teams using a TeammateTool spawn operation, then the system dispatches pending tasks to available agents until the workflow queue is exhausted.

Can I use Claude Code to automate a code review sprint with multiple agents?▼

Yes, Claude Code can automate a code review sprint by spawning a team, launching reviewer agents as teammates with specific security or quality prompts, collecting findings via inbox messages, and performing a synchronized shutdown when reviews finish.

How do I manage the lifecycle and shutdown of a multi-agent team?▼

You manage multi-agent team lifecycles by issuing a requestShutdown operation targeting specific agent IDs, followed by a cleanup operation to remove terminated agents. This synchronized shutdown ensures all background tasks report findings before termination.

Do I need any external dependencies to orchestrate multi-agent swarms?▼

No external dependencies are required to orchestrate multi-agent swarms. The system operates internally using TeammateTool and Task operations to define teams, manage dependencies, handle messaging, and control agent lifecycles natively.