Team Composition Patterns
Seth HobsonCommunityCreated by Seth Hobson
- Skill
- Guidelines
- Agent tooling
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Team Composition Patterns provides a framework for organizing multi-agent teams within the Claude Code environment. It offers heuristics for team sizing based on task complexity, defines preset team structures for common workflows like debugging and feature implementation, and provides a decision matrix for selecting the appropriate agent type based on required tool access. The skill also covers display mode configurations and coordination strategies to minimize overhead.
What it does
- Provides heuristics for determining optimal team size based on task complexity.
- Defines preset team configurations for reviews, debugging, features, and research.
- Maps agent types to specific tool capabilities and roles.
- Offers guidance on configuring display modes like tmux or iTerm2.
- Outlines best practices for custom team orchestration and role assignment.
When to use it
- When planning the structure of a multi-agent team for a new project or task.
- When deciding how many agents are needed to balance coverage and coordination overhead.
- When selecting the correct agent type to ensure teammates have necessary file access.
- When setting up the development environment for multi-agent workflows.
- When troubleshooting coordination issues or duplicate work within a team.
Advantages
- Reduces coordination overhead by providing proven team structures.
- Ensures agents are assigned appropriate tools for their specific roles.
- Helps prevent common pitfalls like assigning implementation tasks to read-only agents.
- Standardizes team setup for consistent performance across different workflows.
Usage examples
- “I need to perform a comprehensive security audit on our codebase. How should I structure the team?”
- The agent will recommend the Security Team preset, consisting of 4 reviewers focusing on specific dimensions like OWASP vulnerabilities, auth, dependencies, and secrets.
- “I have a complex bug with multiple potential causes. What is the best team configuration?”
- The agent will suggest a Debug Team of 3 investigators, each assigned to explore a different hypothesis to identify the root cause efficiently.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/wshobson/team-composition-patterns/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip team-composition-patterns.zip -d .agents/skills
Documentation by Seth Hobson
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-reviewerDefault dimensions: security, performance, architecture
Use when: Code changes need multi-dimensional quality assessment
Debug Team
Size: 3 investigators
Agents: 3x
team-debuggerDefault 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-implementerUse 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-implementerUse when: Feature spans frontend, backend, and test layers
Research Team
Size: 3 researchers
Agents: 3x
general-purposeDefault 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-reviewerDefault 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-reviewerUse 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:
Every team needs a coordinator — Either designate a
team-leador have the user coordinate directlyMatch 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 Agent 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
Files
- ATTRIBUTION.mdAdded by AutoGineer997 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md8.0 KiB
- references/agent-type-selection.md3.5 KiB
- references/preset-teams.md8.9 KiB
Requirements and compatibility
Written for: Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Names Claude Code tools
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Seth Hobson
- Publisher
- Seth Hobson (Community)
- Source
- wshobson/agents · plugins/agent-teams/skills/team-composition-patterns · commit 4bde316
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Seth Hobson or Seth Hobson.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download team-composition-patterns.zip