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Agent Teams

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travisjneuman
agent-teams

Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

Overview

Publishertravisjneuman
Repository.claude
Skill nameagent-teams
Stars
98
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 travisjneuman on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/travisjneuman/.claude.git /tmp/.claude
mkdir -p .claude/skills
cp -r /tmp/.claude/skills/agent-teams .claude/skills/agent-teams
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Teams 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 Agent Teams 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 Agent Teams 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.

Agent Teams Composition Skill

You have expertise in composing and orchestrating Claude Code Agent Teams. Use this knowledge when the user's task would benefit from parallel multi-session work.

When to Suggest Agent Teams

Proactively suggest agent teams when:

  • The user asks for comprehensive code review (suggest 3-reviewer team)
  • The task involves work across multiple layers (frontend + backend + database)
  • The user describes a bug with unclear root cause (suggest competing hypothesis investigation)
  • The user wants to evaluate multiple technologies or approaches (suggest research panel)
  • The task can be clearly split into independent, file-separated workstreams

Do NOT suggest agent teams when:

  • The task is sequential or involves same-file edits
  • A single session or subagent would suffice
  • The coordination overhead would exceed the benefit
  • The user is on a tight token budget

Team Templates

Full Review (3 teammates)

Security reviewer + Performance reviewer + Test coverage reviewer. Each reviews independently, then lead synthesizes findings.

Feature Dev (3 teammates)

Architect (plan approval required) + Implementer + Test writer. Architect plans first, implementer follows, test writer validates.

Debug Squad (3-5 teammates)

Each teammate investigates a different hypothesis. Adversarial debate structure -- teammates challenge each other's theories.

Cross-Platform (3 teammates)

iOS developer + Android developer + Shared architect. Each platform teammate owns their own directory. Architect coordinates API contracts.

Full-Stack (3 teammates)

Frontend + Backend + Database. Clear file ownership per layer. Coordinate on API contracts first.

Research Panel (3 teammates)

Simplicity advocate + Performance advocate + Devil's advocate. Each evaluates from a different perspective, then synthesize.

Spawn Prompt Formula

Every spawn prompt should include:

  1. Role: "You are the [role] teammate responsible for [domain]"
  2. Files: "You own files in [directories]. Do not modify files outside your scope."
  3. Focus: "Specifically look for / implement [details]"
  4. Context: "[Project-specific information the teammate needs]"
  5. Deliverable: "Report your findings as [format] / Implement [specific output]"

Cross-Platform Awareness

  • macOS and Linux: full support (in-process + tmux split panes)
  • Windows: in-process mode only (automatic with auto setting)
  • Always use --teammate-mode auto (default) for automatic detection

Related Documentation

  • ~/.claude/docs/AGENT-TEAMS.md - Full guide with examples
  • ~/.claude/docs/reference/workflows/agent-teams.md - Decision framework
  • ~/.claude/commands/assemble-team.md - Quick team assembly command

Frequently asked questions

What does the Agent Teams AI skill do?

Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

Why use Agent Teams on TypingMind?

Because you install it once and use it with any model. Agent Teams 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 Agent Teams in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/travisjneuman/.claude/tree/master/skills/agent-teams. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Teams?

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 Agent Teams?

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

Is the Agent Teams AI skill free?

Yes. It is published on GitHub by travisjneuman under the MIT license. 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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