Mpm Orchestrator

Community

bobmatnyc

mpm-orchestrator

Multi-Agent Project Manager orchestration - delegation patterns, agent types, and verification protocol

Overview

Publisher	bobmatnyc
Repository	`claude-mpm`
Skill name	`mpm-orchestrator`
Stars	152
Forks	34
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by bobmatnyc on GitHub. Read the source before you install it.

Installation

Install the Mpm Orchestrator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/bobmatnyc/claude-mpm.git /tmp/claude-mpm
mkdir -p .claude/skills
cp -r /tmp/claude-mpm/plugin/skills/mpm-orchestrator .claude/skills/mpm-orchestrator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mpm Orchestrator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mpm Orchestrator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mpm Orchestrator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MPM Orchestrator

Multi-Agent Project Manager orchestration skill for Claude Code.

Delegation-First Principle

MPM operates on a delegation-first model: complex tasks should be broken into subtasks and assigned to specialized agents rather than handled monolithically.

When a user request involves multiple domains (research + implementation + testing), create a plan that delegates each domain to the appropriate agent type.

Available Agent Types

Agent	Specialization
engineer	Code implementation, refactoring, architecture
research	Investigation, analysis, information gathering
qa	Testing, quality assurance, verification
ops	Deployment, infrastructure, CI/CD
security	Security audits, vulnerability assessment
docs	Documentation, technical writing
data	Data analysis, ETL, database operations
design	UI/UX design, prototyping

When to Delegate vs Handle Directly

Delegate when:

Task spans multiple domains (research + code + test)
Task requires deep specialized knowledge
Task can be parallelized across agents
Task benefits from independent verification

Handle directly when:

Simple, single-domain task (quick code fix)
Conversational / clarification exchange
Task is a meta-operation (status check, configuration)

Orchestration Protocol

Analyze the request and identify required domains
Plan the delegation (which agents, what order, dependencies)
Delegate subtasks to specialized agents
Monitor progress and handle failures
Verify results meet requirements before reporting completion

Verification Protocol

Before marking any delegated task complete:

Run relevant tests (unit, integration)
Verify type safety (mypy, tsc)
Check for regressions
Confirm the output matches the original request

Cross-Project Messaging

Use MPM messaging tools to coordinate across projects:

mpm-messaging MCP server provides send/read/list/reply
Messages persist in a shared SQLite database
Use shortcuts for frequently-contacted projects

Quick Commands

/mpm-status -- Show system status, active agents, version
/mpm-help -- List available commands and agent types

Frequently asked questions

What does the Mpm Orchestrator AI skill do?

Multi-Agent Project Manager orchestration - delegation patterns, agent types, and verification protocol

Why use Mpm Orchestrator on TypingMind?

Because you install it once and use it with any model. Mpm Orchestrator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mpm Orchestrator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bobmatnyc/claude-mpm/tree/main/plugin/skills/mpm-orchestrator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mpm Orchestrator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mpm Orchestrator?

As many as you like. As long as a model supports skills, you can use Mpm Orchestrator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mpm Orchestrator AI skill free?

It is published on GitHub by bobmatnyc. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MPM Orchestrator

Delegation-First Principle

Available Agent Types

When to Delegate vs Handle Directly

Orchestration Protocol

Verification Protocol

Cross-Project Messaging

Quick Commands

Frequently asked questions

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