Multi-Agent Orchestration

Multi-Agent Orchestration is an AI Engineering skill for Claude Code, published by seb1n in awesome-ai-agent-skills.

174 stars32 forkson seb1n/awesome-ai-agent-skillsAdded 2026/09/07+2% in starsRepository updated 2026/08/09

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Install in seconds

Install Multi-Agent Orchestration

Copy Multi-Agent Orchestration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/seb1n/awesome-ai-agent-skills/tree/main/agent-engineering/multi-agent-orchestration ~/.claude/skills/multi-agent-orchestration

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/seb1n/awesome-ai-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: agent-engineering/multi-agent-orchestration/SKILL.md in seb1n/awesome-ai-agent-skills
Installs to: ~/.claude/skills/multi-agent-orchestration
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3475 skills

What Multi-Agent Orchestration does

Multi-Agent Orchestration designs bounded multi-agent workflows with task graphs, ownership, handoff contracts, approvals, recovery, and synthesis. Use it when a task has independent workstreams, specialized roles, parallel research or implementation, or coordination risks.

Multi-Agent Orchestration is cataloged under AI Engineering on DirSkills. Multi-Agent Orchestration comes from a repository tagged agent-skills, ai-agent-skills, ai-agents, awesome-list and claude-code.

Documentation

README

Excerpt

Multi-Agent Orchestration

Use multiple agents only when specialization or safe parallelism outweighs coordination cost.

Use when

Split a large objective into independent, verifiable workstreams.
Coordinate specialists that need distinct tools, permissions, or context.
Run worker-reviewer, planner-executor, map-reduce, or bounded debate patterns.
Diagnose duplicate work, conflicting edits, weak handoffs, or stalled dependencies.

Do not delegate a tightly coupled, small, or inherently sequential task merely to increase agent count.

Inputs

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Multi-Agent Orchestration

What else does seb1n publish alongside Multi-Agent Orchestration?
Multi-Agent Orchestration is one of 25 skills that DirSkills catalogs from seb1n/awesome-ai-agent-skills, the repository it ships in. Its siblings there include API Design, API Integration and Agent Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Multi-Agent Orchestration does, and is maintained by seb1n in that same repository. The rest of the collection is listed on the seb1n/awesome-ai-agent-skills page.
How does Multi-Agent Orchestration compare to other AI Engineering skills?
Multi-Agent Orchestration ranks #3228 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Multi-Agent Orchestration against them. Open each page to compare what they document and how they install.