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team-composition-patterns skill

/plugins/agent-teams/skills/team-composition-patterns

This skill helps you design optimal multi-agent team configurations by sizing, presets, and agent-type selection for Claude Code workflows.

npx playbooks add skill wshobson/agents --skill team-composition-patterns

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: team-composition-patterns
description: Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding team size, selecting agent types, or configuring team presets for multi-agent workflows.
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 Task 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`    | All tools                                 | Code review with structured findings                       |
| `agent-teams:team-debugger`    | All tools                                 | Hypothesis-driven investigation                            |
| `agent-teams:team-implementer` | All tools                                 | Building features within file ownership boundaries         |
| `agent-teams:team-lead`        | All 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`:

```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 team needs a coordinator** — Either designate a `team-lead` or have the user coordinate directly
2. **Match roles to agent types** — Use specialized agents (reviewer, debugger, implementer) when available
3. **Avoid duplicate roles** — Two agents doing the same thing wastes resources
4. **Define boundaries upfront** — Each teammate needs clear ownership of files or responsibilities
5. **Keep it small** — 2-4 teammates is the sweet spot; 5+ requires significant coordination overhead

Overview

This skill designs optimal multi-agent team compositions for Claude Code workflows. It provides sizing heuristics, preset team configurations, and guidance for selecting agent types and display modes. Use it to quickly configure efficient, role-aligned agent teams for implementation, review, debugging, research, and migrations.

How this skill works

The skill inspects task complexity and recommended dimensions to suggest team sizes and presets (Review, Debug, Feature, Fullstack, Research, Security, Migration). It maps roles to agent types (general-purpose, Explore, Plan, team-reviewer, team-debugger, team-implementer, team-lead) and recommends display modes (tmux, iTerm2, in-process) for runtime setup. It also provides rules for custom teams: coordinator assignment, role boundaries, and avoiding duplicate responsibilities.

When to use it

  • Deciding how many teammates to spawn for a specific task
  • Choosing a preset composition for code review, debugging, feature work, or migration
  • Selecting subagent_type when spawning teammates with the Task tool
  • Configuring teammate display mode for local development or CI
  • Designing a custom team for cross-cutting or full-stack work

Best practices

  • Start with the smallest team that covers required dimensions; add members only as needed
  • Assign a coordinator (team-lead) or clear user coordination for non-trivial teams
  • Match roles to agent types and never assign implementation to read-only agents
  • Define file ownership and responsibilities upfront to avoid overlap
  • Keep teams between 2–4 members for most tasks; 5+ needs explicit orchestration

Example use cases

  • Run a 3-member Review Team (security, performance, architecture) for a large PR
  • Spawn a 3-agent Debug Team to test three competing hypotheses on a flaky failing test
  • Assemble a Fullstack Team with lead + frontend, backend, and test implementers for a cross-layer feature
  • Use a Research Team of Explore agents to parallelize codebase search and web research on libraries
  • Configure teammateMode to tmux for local development monitoring or in-process for CI lightweight runs

FAQ

How do I pick team size for a task?

Estimate task complexity: simple (1–2), moderate (2–3), complex (3–4), very complex (4–5). Start small and expand if coordination gaps appear.

Which agent type should do file edits?

Use general-purpose or team-implementer/team-lead; read-only types (Explore, Plan) cannot modify files.

When should I use tmux vs in-process display modes?

Use tmux for interactive development and monitoring multiple agents, iTerm2 for macOS preference, and in-process for CI or simple scripted runs.