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Multi-Agent Orchestration

A disciplined playbook for splitting work across multiple agents with dependency graphs, handoff contracts, approval gates, and verified synthesis.

AutomationAdvanced★ 232⑂ 47AI score 8/10Last updated: Aug 9, 2026

What it does

  • Breaks a large objective into independent, verifiable workstreams with explicit non-goals.
  • Builds a directed acyclic task graph where every task has an owner, inputs, output contract, write scope, and verification.
  • Defines structured handoffs (status, result, evidence, changed state, assumptions, risks) plus shared-state policy and bounded retries/timeouts.
  • Puts deployments, external messages, credential access, and destructive actions behind approval points; delegation never expands authority.
  • Uses python3 scripts/validate_plan.py plan.json --strict to catch cycles, missing owners, parallel write conflicts, and missing execution bounds.
  • Requires a named integrator to adjudicate conflicts from primary evidence and re-run end-to-end checks before declaring completion.

Who it's for

  • Anyone who has fanned out sub-agents and ended up with duplicate work or conflicting edits.
  • Agent engineers standardizing planner-executor, worker-reviewer, or map-reduce topologies.
  • Tech leads coordinating large refactors or multi-branch research.

Examples

  1. Cross-platform auth change: keep architecture and integration with one owner, delegate threat modeling and test-fixture design in parallel, assign non-overlapping files only after freezing the interface.
  2. Parallel research: map-reduce disjoint topics, require source-backed evidence in each handoff, and have the integrator reconcile only the contradictions.
  3. Unblocking a stalled workflow: when duplicate work or idle dependencies appear, redraw the graph and critical path, cut delegation, and finish under a single owner.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/seb1n/awesome-ai-agent-skills/HEAD/agent-engineering/multi-agent-orchestration/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the agent-engineering/multi-agent-orchestration folder from the GitHub repo seb1n/awesome-ai-agent-skills into my ~/.claude/skills/multi-agent-orchestration/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/seb1n/awesome-ai-agent-skills.git /tmp/aas && mkdir -p ~/.claude/skills && cp -r /tmp/aas/agent-engineering/multi-agent-orchestration ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/seb1n/awesome-ai-agent-skills.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r awesome-ai-agent-skills/agent-engineering/multi-agent-orchestration ~/.claude/skills/
  5. Verify the bundled references/ and scripts/ folders came along: ls ~/.claude/skills/multi-agent-orchestration
  6. Restart Claude Code and try a prompt like "plan this work across multiple agents with owners and dependencies".
  7. To use the validator, confirm Python 3 is available: python3 --version.
View source on GitHub ↗License: MIT