/team-composition-patterns
Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the
Claude Code
$ npx -y skills add wshobson/agents --skill team-composition-patterns --agent claude-code
Codex
$ npx skills add wshobson/agents --skill team-composition-patterns -a codex -y
Cursor
$ npx skills add wshobson/agents --skill team-composition-patterns -a cursor -y
Gemini CLI
$ npx skills add wshobson/agents --skill team-composition-patterns -a gemini-cli -y
GitHub Copilot
$ npx skills add wshobson/agents --skill team-composition-patterns -a github-copilot -y
OpenCode
$ npx skills add wshobson/agents --skill team-composition-patterns -a opencode -y
Windsurf
$ npx skills add wshobson/agents --skill team-composition-patterns -a windsurf -y
SKILL.md
team-composition-patterns.SKILL.mdname: team-composition-patterns
description: Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.
version: 1.0.2
Team Composition Patterns
Best practices for composing multi-agent teams, selecting team sizes, choosing agent types, and configuring display modes for Claude Code's Agent Teams feature.
When to Use This Skill
- Deciding how many teammates to spawn for a task
- Choosing between preset team configurations
- Selecting the right agent type (subagent_type) for each role
- Configuring teammate display modes (tmux, iTerm2, in-process)
- Building custom team compositions for non-standard workflows
Team Sizing Heuristics
| Complexity | Team Size | When to Use | | ------------ | --------- | ----------------------------------------------------------- | | Simple | 1-2 | Single-dimension review, isolated bug, small feature | | Moderate | 2-3 | Multi-file changes, 2-3 concerns, medium features | | Complex | 3-4 | Cross-cutting concerns, large features, deep debugging | | Very Complex | 4-5 | Full-stack features, comprehensive reviews, systemic issues |
**Rule of thumb**: Start with the smallest team that covers all required dimensions. Adding teammates increases coordination overhead.
Preset Team Compositions
Review Team
- **Size**: 3 reviewers
- **Agents**: 3x `team-reviewer`
- **Default dimensions**: security, performance, architecture
- **Use when**: Code changes need multi-dimensional quality assessment
Debug Team
- **Size**: 3 investigators
- **Agents**: 3x `team-debugger`
- **Default hypotheses**: 3 competing hypotheses
- **Use when**: Bug has multiple plausible root causes
Feature Team
- **Size**: 3 (1 lead + 2 implementers)
- **Agents**: 1x `team-lead` + 2x `team-implementer`
- **Use when**: Feature can be decomposed into parallel work streams
Fullstack Team
- **Size**: 4 (1 lead + 3 implementers)
- **Agents**: 1x `team-lead` + 1x frontend `team-implementer` + 1x backend `team-implementer` + 1x test `team-implementer`
- **Use when**: Feature spans frontend, backend, and test layers
Research Team
- **Size**: 3 researchers
- **Agents**: 3x `general-purpose`
- **Default areas**: Each assigned a different research question, module, or topic
- **Capabilities**: Codebase search (Grep, Glob, Read), web search (WebSearch, WebFetch)
- **Use when**: Need to understand a codebase, research libraries, compare approaches, or gather information from code and web sources in parallel
Security Team
- **Size**: 4 reviewers
- **Agents**: 4x `team-reviewer`
- **Default dimensions**: OWASP/vulnerabilities, auth/access control, dependencies/supply chain, secrets/configuration
- **Use when**: Comprehensive security audit covering multiple attack surfaces
Migration Team
- **Size**: 4 (1 lead + 2 implementers + 1 reviewer)
- **Agents**: 1x `team-lead` + 2x `team-implementer` + 1x `team-reviewer`
- **Use when**: Large codebase migration (framework upgrade, language port, API version bump) requiring parallel work with correctness verification
Agent Type Selection
When spawning teammates with the `Agent` tool, choose `subagent_type` based on what tools the teammate needs:
| Agent Type | Tools Available | Use For | | ------------------------------ | ---------------------------------------------------- | ---------------------------------------------------------- | | `general-purpose` | All tools (Read, Write, Edit, Bash, etc.) | Implementation, debugging, any task requiring file changes | | `Explore` | Read-only tools (Read, Grep, Glob) | Research, code exploration, analysis | | `Plan` | Read-only tools | Architecture planning, task decomposition | | `agent-teams:team-reviewer` | Read/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Code review with structured findings | | `agent-teams:team-debugger` | Read/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Hypothesis-driven investigation | | `agent-teams:team-implementer` | Read/Write/Edit/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Building features within file ownership boundaries | | `agent-teams:team-lead` | Read/search/Bash plus Agent Teams coordination tools | Team orchestration and coordination |
**Key distinction**: Read-only agents (Explore, Plan) cannot modify files. Never assign implementation tasks to read-only agents.
Display Mode Configuration
Configure in `~/.claude/settings.json`:
{
"teammateMode": "tmux"
}| Mode | Behavior | Best For | | -------------- | ------------------------------ | ------------------------------------------------- | | `"tmux"` | Each teammate in a tmux pane | Development workflows, monitoring multiple agents | | `"iterm2"` | Each teammate in an iTerm2 tab | macOS users who prefer iTerm2 | | `"in-process"` | All teammates in same process | Simple tasks, CI/CD environments |
Custom Team Guidelines
When building custom teams:
1. **Every
Read more
name: team-composition-patterns description: Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit. version: 1.0.2
Team Composition Patterns
Best practices for composing multi-agent teams, selecting team sizes, choosing agent types, and configuring display modes for Claude Code's Agent Teams feature.
When to Use This Skill
- Deciding how many teammates to spawn for a task
- Choosing between preset team configurations
- Selecting the right agent type (subagent_type) for each role
- Configuring teammate display modes (tmux, iTerm2, in-process)
- Building custom team compositions for non-standard workflows
Team Sizing Heuristics
| Complexity | Team Size | When to Use | | ------------ | --------- | ----------------------------------------------------------- | | Simple | 1-2 | Single-dimension review, isolated bug, small feature | | Moderate | 2-3 | Multi-file changes, 2-3 concerns, medium features | | Complex | 3-4 | Cross-cutting concerns, large features, deep debugging | | Very Complex | 4-5 | Full-stack features, comprehensive reviews, systemic issues |
**Rule of thumb**: Start with the smallest team that covers all required dimensions. Adding teammates increases coordination overhead.
Preset Team Compositions
Review Team
- **Size**: 3 reviewers
- **Agents**: 3x `team-reviewer`
- **Default dimensions**: security, performance, architecture
- **Use when**: Code changes need multi-dimensional quality assessment
Debug Team
- **Size**: 3 investigators
- **Agents**: 3x `team-debugger`
- **Default hypotheses**: 3 competing hypotheses
- **Use when**: Bug has multiple plausible root causes
Feature Team
- **Size**: 3 (1 lead + 2 implementers)
- **Agents**: 1x `team-lead` + 2x `team-implementer`
- **Use when**: Feature can be decomposed into parallel work streams
Fullstack Team
- **Size**: 4 (1 lead + 3 implementers)
- **Agents**: 1x `team-lead` + 1x frontend `team-implementer` + 1x backend `team-implementer` + 1x test `team-implementer`
- **Use when**: Feature spans frontend, backend, and test layers
Research Team
- **Size**: 3 researchers
- **Agents**: 3x `general-purpose`
- **Default areas**: Each assigned a different research question, module, or topic
- **Capabilities**: Codebase search (Grep, Glob, Read), web search (WebSearch, WebFetch)
- **Use when**: Need to understand a codebase, research libraries, compare approaches, or gather information from code and web sources in parallel
Security Team
- **Size**: 4 reviewers
- **Agents**: 4x `team-reviewer`
- **Default dimensions**: OWASP/vulnerabilities, auth/access control, dependencies/supply chain, secrets/configuration
- **Use when**: Comprehensive security audit covering multiple attack surfaces
Migration Team
- **Size**: 4 (1 lead + 2 implementers + 1 reviewer)
- **Agents**: 1x `team-lead` + 2x `team-implementer` + 1x `team-reviewer`
- **Use when**: Large codebase migration (framework upgrade, language port, API version bump) requiring parallel work with correctness verification
Agent Type Selection
When spawning teammates with the `Agent` tool, choose `subagent_type` based on what tools the teammate needs:
| Agent Type | Tools Available | Use For | | ------------------------------ | ---------------------------------------------------- | ---------------------------------------------------------- | | `general-purpose` | All tools (Read, Write, Edit, Bash, etc.) | Implementation, debugging, any task requiring file changes | | `Explore` | Read-only tools (Read, Grep, Glob) | Research, code exploration, analysis | | `Plan` | Read-only tools | Architecture planning, task decomposition | | `agent-teams:team-reviewer` | Read/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Code review with structured findings | | `agent-teams:team-debugger` | Read/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Hypothesis-driven investigation | | `agent-teams:team-implementer` | Read/Write/Edit/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessage | Building features within file ownership boundaries | | `agent-teams:team-lead` | Read/search/Bash plus Agent Teams coordination tools | Team orchestration and coordination |
**Key distinction**: Read-only agents (Explore, Plan) cannot modify files. Never assign implementation tasks to read-only agents.
Display Mode Configuration
Configure in `~/.claude/settings.json`:
{
"teammateMode": "tmux"
}| Mode | Behavior | Best For | | -------------- | ------------------------------ | ------------------------------------------------- | | `"tmux"` | Each teammate in a tmux pane | Development workflows, monitoring multiple agents | | `"iterm2"` | Each teammate in an iTerm2 tab | macOS users who prefer iTerm2 | | `"in-process"` | All teammates in same process | Simple tasks, CI/CD environments |
Custom Team Guidelines
When building custom teams:
1. **Every
Use one collection of plugins, agents, skills, and commands across Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi. A harness is the coding tool that loads and runs the components.
Other skills on agents.
More skills from other plugins.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
Questions about team-composition-patterns.
- Which coding agents can use team-composition-patterns?
- team-composition-patterns installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

