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majiayu000/spellbook/skills/multi-model-orchestrator/SKILL.md

multi-model-orchestrator

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

Source repository stars
262
Declared platforms
2
Static risk flags
0
Last source update
2026-08-26
Source checked
2026-08-28

Decision brief

What it does: where it fits

Decompose. Execute. Synthesize.

Best for

  • 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

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexDeclaredSource recordInstall path and trigger
Claude CodeDeclaredSource recordInstall path and trigger
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/majiayu000/spellbook --skill "skills/multi-model-orchestrator"
Safe inspection promptEditorial

Inspect the Agent Skill "multi-model-orchestrator" from https://github.com/majiayu000/spellbook/blob/9e96aa5f52e8504cbbf9d359def29f9abcde57ce/skills/multi-model-orchestrator/SKILL.md at commit 9e96aa5f52e8504cbbf9d359def29f9abcde57ce. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    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.
  2. 02

    Why This Skill

    Complex work often requires: 1. High-level planning — breaking down a big goal into concrete subtasks 2. Parallel execution — different agents handling different task types simultaneously 3. Feedback synthesis — collecting results and iterating intelligently 4. Full traceability…

    High-level planning — breaking down a big goal into concrete subtasksParallel execution — different agents handling different task types simultaneouslyFeedback synthesis — collecting results and iterating intelligently
  3. 03

    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.

    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 st…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.
  4. 04

    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 -…

    A single-agent conversation would be too long or unfocusedYou want to parallelize work across multiple specialized agentsYou need to decompose a vague goal into specific, executor-ready tasks
  5. 05

    Core Concepts

    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

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score93/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars262SourceRepository attention, not individual Skill quality
Compatibility2 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
majiayu000/spellbook
Skill path
skills/multi-model-orchestrator/SKILL.md
Commit
9e96aa5f52e8504cbbf9d359def29f9abcde57ce
License
MIT
Collected
2026-08-28
Default branch
main
View the original SKILL.md

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:

  1. High-level planning — breaking down a big goal into concrete subtasks
  2. Parallel execution — different agents handling different task types simultaneously
  3. Feedback synthesis — collecting results and iterating intelligently
  4. 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:

AgentBest For
Claude (or Fable)Planning, decomposition, architecture review, high-level strategy
OpusComplex reasoning, deep analysis, novel problem-solving
HaikuFast iteration, simple fixes, quick validation
CodexCode generation, refactoring, technical implementation
Claude CodeInteractive 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:

  1. Create handoff — copy templates/handoff-template.yaml to .claude/handoffs/my-task.yaml.
  2. Decompose — ask Fable/Claude to break the goal into 3-5 subtasks; paste into subtasks.
  3. Execute — give each subtask's input to its assigned executor.
  4. Record — append the result to execution.rounds.
  5. 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

  1. Save your handoff to .claude/handoffs/task.yaml
  2. Run: cat .claude/handoffs/task.yaml to load it in conversation
  3. Ask Claude to execute a subtask
  4. 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


Status: Production ready · License: MIT

Frequently asked questions

What to verify before installation and use

What does the multi-model-orchestrator source document cover?

Decompose. Execute. Synthesize.

How do I install multi-model-orchestrator?

The source record exposes this install command: npx skills add https://github.com/majiayu000/spellbook --skill "skills/multi-model-orchestrator". Inspect the command and pinned source before running it.

Which Agent platforms does the source record declare?

The pinned source record declares support for: codex, claude code.

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