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A skill your agent uses when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.
Install Multi Model Orchestrator
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/spellbook multi-model-orchestrator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-model-orchestrator .claude/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .claude/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestratorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/spellbook multi-model-orchestrator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi-model-orchestrator .agents/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .agents/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/spellbook multi-model-orchestrator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi-model-orchestrator .cursor/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .cursor/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/spellbook.git --path skills/multi-model-orchestrator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/spellbook multi-model-orchestrator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi-model-orchestrator .gemini/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .gemini/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/spellbook multi-model-orchestratorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi-model-orchestrator .github/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .github/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/spellbook multi-model-orchestrator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi-model-orchestrator .opencode/skills/multi-model-orchestrator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "multi-model-orchestrator" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/multi-model-orchestrator into .opencode/skills/multi-model-orchestrator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-model-orchestrator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
multi-model-orchestrator- GitHub stars
- 287
- Token cost
- ~1.5k tokens
- SKILL.md length
- 568 words
- Files
- 11 (incl. references)
- Skills in repo
- 97
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.
- Works in 4 steps: High-level planning — breaking down a… → Parallel execution — different agents… → Feedback synthesis — collecting results… → …
- Coordinating complex tasks across multiple AI agents with a centralized handoff document for planning
- SKILL.md covers Why This Skill, Operating Contract, When to Use and Core Concepts, plus 5 more sections
- Calls codex
What it does
Multi Model Orchestrator is an agent skill from majiayu000/spellbook. Use when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `README.md`, `references/add-auth-to-api.yaml` and `references/advanced-sync.md`).
It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: Cross-runtime skills for Claude Code, Codex, and multi-agent workflows. The licence is MIT.
When your agent uses it
- Coordinating complex tasks across multiple AI agents with a centralized handoff document for planning
- Execution tracking
- Feedback fusion
Example prompts
- “/multi-model-orchestrator”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 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
What it can do on your machine
Read from SKILL.md and the folder at commit ed52af7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
codex
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Multi Model Orchestrator loads about 1.5k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 568 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from majiayu000/spellbook at commit ed52af7, republished under its MIT licence (© majiayu000). 568 words, ~1,507 tokens.
Download SKILL.mdSave it as
.claude/skills/multi-model-orchestrator/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- multi-model-orchestrator
- description
- Use when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.
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
Show full SKILL.md (241 more words)Show less
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 completeQuick Start
The full five-step walkthrough with copy-paste templates lives in references/quick-start.md. Summary:
- Create handoff — copy
templates/handoff-template.yamlto.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
inputto its assigned executor. - Record — append the result to
execution.rounds. - Iterate or complete — update
metadata.statustowardcomplete.
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.yamlto 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 templatesreferences/handoff-structure.md— handoff YAML field referencereferences/workflow-patterns.md— parallel / sequential / sync-point layoutsreferences/best-practices.md— high-signal subtask authoringreferences/advanced-sync.md— optional handoff automationreferences/faq.md— common questions
- Companion tools: Codex (code-focused multi-agent router), Claude Code (interactive execution)
Status: Production ready · License: MIT
© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (references) in skills/multi-model-orchestrator of majiayu000/spellbook.
- SKILL.md
- LICENSE
- README.md
- references/add-auth-to-api.yaml
- references/advanced-sync.md
- references/best-practices.md
- references/faq.md
- references/handoff-structure.md
- references/quick-start.md
- references/workflow-patterns.md
- templates/handoff-template.yaml
Open the folder on GitHubat commit ed52af7
Compare with similar skills
Multi Model Orchestrator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Multi Model Orchestrator this skillmajiayu000/spellbook | 287 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
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O2 Review Loop
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Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
Paseo Committee
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
Mission Control Agent API
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Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
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Related
Categories
Questions about Multi Model Orchestrator
What does Multi Model Orchestrator do?
A skill your agent uses when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion. Multi Model Orchestrator is an agent skill from majiayu000/spellbook. Use when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.
When should I use Multi Model Orchestrator?
Multi Model Orchestrator fits situations like: coordinating complex tasks across multiple AI agents with a centralized handoff document for planning; execution tracking; feedback fusion.
How do I install Multi Model Orchestrator in Claude Code?
Run `npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a claude-code`. Or copy the skill folder (skills/multi-model-orchestrator in majiayu000/spellbook) into .claude/skills/multi-model-orchestrator in your project. Claude Code loads it when a task matches its description.
How do I install Multi Model Orchestrator in Codex?
Run `npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a codex`. Or copy the skill folder (skills/multi-model-orchestrator in majiayu000/spellbook) into .agents/skills/multi-model-orchestrator in your project. Codex loads it when a task matches its description.
Can I use Multi Model Orchestrator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/spellbook --skill multi-model-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-model-orchestrator, .gemini/skills/multi-model-orchestrator, .github/skills/multi-model-orchestrator and .opencode/skills/multi-model-orchestrator in your project.
What does Multi Model Orchestrator need to run?
Going by SKILL.md and its folder, Multi Model Orchestrator needs the command-line tools its instructions call (codex).
Does Multi Model Orchestrator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Multi Model Orchestrator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Multi Model Orchestrator use?
Multi Model Orchestrator is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Multi Model Orchestrator use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.5k tokens, read only when the agent opens those files.
What are the alternatives to Multi Model Orchestrator?
Skills that share tags, products or a category with Multi Model Orchestrator: Orca CLI (stablyai/orca, 89k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi Model Orchestrator?
majiayu000 (a GitHub user) maintains it in majiayu000/spellbook, which has 287 GitHub stars. The repository holds 97 skills in this directory. The repository was last updated on October 8, 2026.
Source: majiayu000/spellbook on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.