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Multi Model Orchestrator Agent Skill

Use when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.

11k tokens
context cost
the whole folder, loaded on every use
11
files
instructions only
0
copies elsewhere
how many repositories repackaged it
242
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/majiayu000/spellbook --skill multi-model-orchestrator

The instruction itself

13 sections, as written by the author

multi-model-orchestrator

Decompose. Execute. Synthesize.

A lightweight skill for coordinating work across multiple AI agents (Claude, Opus, Haiku, Codex, or any agent) using a single handoff document as the source of truth.

Why This Skill

Complex work often requires:

  • High-level planning — breaking down a big goal into concrete subtasks
  • Parallel execution — different agents handling different task types simultaneously
  • Feedback synthesis — collecting results and iterating intelligently
  • Full traceability — understanding who did what, why, and what changed

This skill provides the structure and templates to do this cleanly.

Operating Contract

Direct actions: create or update one handoff document as the source of truth, decompose the goal into executor-ready subtasks, assign explicit dependencies, record execution results, and synthesize feedback into next steps.

Escalate before: starting execution when the goal, constraints, executor choice, writable scope, or done criteria are ambiguous.

Evidence-backed pushback: reject unverified completion claims, vague agent outputs, missing acceptance criteria, or parallel assignments that touch shared writable files without explicit ordering.

Feedback loop: after each execution round, update the handoff with result, evidence, blockers, and next action before assigning follow-up work.

When to Use

Use when:

  • A single-agent conversation would be too long or unfocused
  • You want to parallelize work across multiple specialized agents
  • You need to decompose a vague goal into specific, executor-ready tasks
  • You want to track decisions, changes, and feedback in one place
  • You're exploring multiple approaches simultaneously (A/B/C branches)

Don't use when:

  • The task is simple and one agent can handle it end-to-end
  • You don't need to track who did what
  • Execution is strictly sequential with no parallelization
  • The task is exploratory with no clear structure

Core Concepts

Handoff Document (Handoff)

A YAML file that serves as the single source of truth. It contains:

  • Goal — what are we trying to accomplish?
  • Subtasks — who does what, and what does success look like?
  • Context — code references, prior decisions, constraints
  • Execution Tracking — who executed, what was the result, what blockers?
  • Feedback — iterations, changes, and learnings

Agent Roles

You choose which agents execute which subtasks. Examples:

| Agent | Best For |

|-------|----------|

| Claude (or Fable) | Planning, decomposition, architecture review, high-level strategy |

| Opus | Complex reasoning, deep analysis, novel problem-solving |

| Haiku | Fast iteration, simple fixes, quick validation |

| Codex | Code generation, refactoring, technical implementation |

| Claude Code | Interactive development, running code, verification |

The Loop

1. Define Goal
    ↓
2. Fable/Claude decomposes into Handoff subtasks
    ↓
3. You assign subtasks to agents
    ↓
4. Agents execute in parallel or sequence
    ↓
5. You record results in Handoff
    ↓
6. Review, iterate, or complete

Quick Start

The full five-step walkthrough with copy-paste templates lives in references/quick-start.md. Summary:

  • Create handoff — copy templates/handoff-template.yaml to .claude/handoffs/my-task.yaml.
  • Decompose — ask Fable/Claude to break the goal into 3-5 subtasks; paste into subtasks.
  • Execute — give each subtask's input to its assigned executor.
  • Record — append the result to execution.rounds.
  • Iterate or complete — update metadata.status toward complete.

Field-by-field reference: references/handoff-structure.md.

Complete Example

See references/add-auth-to-api.yaml for a real-world multi-agent execution walkthrough.

Using with Claude Code

  • Save your handoff to .claude/handoffs/task.yaml
  • Run: cat .claude/handoffs/task.yaml to load it in conversation
  • Ask Claude to execute a subtask
  • When done, update the handoff manually or using a script

For automation, see references/advanced-sync.md.

Using with Codex

Codex does not have handoff-specific subcommands. Use codex exec with a focused prompt that names the handoff file and the exact subtask:

codex exec "Read .claude/handoffs/task.yaml. Execute subtask task-1 only. Return the result, blockers, files changed, and verification evidence."

For decomposition:

codex exec "Read .claude/handoffs/task.yaml. Propose 3-5 YAML subtasks using goal.summary, goal.context, and goal.acceptance_criteria. Do not edit files."

Resources

  • Templates: templates/handoff-template.yaml
  • Real example: references/add-auth-to-api.yaml
  • Detailed references:
  • references/quick-start.md — full five-step walkthrough with templates
  • references/handoff-structure.md — handoff YAML field reference
  • references/workflow-patterns.md — parallel / sequential / sync-point layouts
  • references/best-practices.md — high-signal subtask authoring
  • references/advanced-sync.md — optional handoff automation
  • references/faq.md — common questions
  • Companion tools: Codex (code-focused multi-agent router), Claude Code (interactive execution)

Status: Production ready · License: MIT

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How to use it

Copy the folder

Take majiayu000/multi-model-orchestrator from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.