team-composition-patterns▌
wshobson/agents · updated Apr 8, 2026
Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection.
- ›Seven preset team configurations (Review, Debug, Feature, Fullstack, Research, Security, Migration) with recommended agent counts and types for common workflows
- ›Team sizing heuristic table matching task complexity (simple to very complex) with recommended team size (1–5 agents) and coordination overhead guidance
- ›Agent type selection guide covering general-purpose, read-only
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+ 2xteam-implementer - Use when: Feature can be decomposed into parallel work streams
Fullstack Team
- Size: 4 (1 lead + 3 implementers)
- Agents: 1x
team-lead+ 1x frontendteam-implementer+ 1x backendteam-implementer+ 1x testteam-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+ 2xteam-implementer+ 1xteam-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:
{
"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:
- Every team needs a coordinator — Either designate a
team-leador have the user coordinate directly - Match roles to agent types — Use specialized agents (reviewer, debugger, implementer) when available
- Avoid duplicate roles — Two agents doing the same thing wastes resources
- Define boundaries upfront — Each teammate needs clear ownership of files or responsibilities
- Keep it small — 2-4 teammates is the sweet spot; 5+ requires significant coordination overhead
Troubleshooting
A teammate was spawned as Explore but needs to write files.
Explore and Plan are read-only agents. Change the subagent_type to general-purpose or an appropriate specialized agent type. Never assign implementation tasks to read-only agents.
The team is growing too large and coordination is slowing everything down. Each additional teammate adds communication overhead. Consolidate roles: can one agent cover two dimensions? A 4-person team doing 6 independent tasks is usually better served by 3 agents covering 2 tasks each.
tmux mode is not showing panes.
Ensure tmux is installed and a session is already running before spawning teammates. The in-process mode works without tmux and is suitable for CI or scripted environments.
Two reviewers are flagging the same issues. The review dimensions overlap. Redefine each reviewer's focus area: one on correctness/logic, one on security, one on performance/scalability. Overlapping coverage wastes tokens and produces duplicate findings.
A team-lead is spawning teammates but they are not receiving tasks.
Verify that the lead is using the Task tool to spawn teammates and passing complete context in the prompt. Teammates start fresh with no prior conversation history — they need all relevant information in their initial prompt.
Related Skills
- parallel-feature-development — Decompose work streams and assign file ownership once the team is composed
- team-communication-protocols — Establish messaging norms and shutdown procedures for the assembled team
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★34 reviews- ★★★★★Pratham Ware· Dec 24, 2024
We added team-composition-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Neel Garcia· Dec 20, 2024
team-composition-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Advait Robinson· Nov 19, 2024
team-composition-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yash Thakker· Nov 15, 2024
team-composition-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Naina Perez· Nov 11, 2024
team-composition-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Liam Patel· Oct 10, 2024
Keeps context tight: team-composition-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Dhruvi Jain· Oct 6, 2024
Registry listing for team-composition-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Naina Choi· Oct 2, 2024
I recommend team-composition-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mei Robinson· Sep 13, 2024
team-composition-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Harper Garcia· Sep 5, 2024
We added team-composition-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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