Tested demoQuality 91/100

wshobson/agents/plugins/agent-teams/skills/team-composition-patterns/SKILL.md

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 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-sta

Source repository stars
39,098
Declared platforms
0
Static risk flags
1
Last source update
2026-08-24
Source checked
2026-08-25

Decision brief

What it does: where it fits

Best practices for composing multi-agent teams, selecting team sizes, choosing agent types, and configuring display modes for Claude Code's Agent Teams feature.

Best for

  • Deciding how many teammates to spawn for a task
  • Choosing between preset team configurations
  • Selecting the right agent type (subagenttype) for each role

Not for

  • A teammate was spawned as Explore but needs to write files. Explore and Plan are read-only agents. Change the subagenttype to general-purpose or an appropriate specialized agent type. Never assign implementation tasks t…
  • 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…
Controlled single-run demoChecked 2026-08-20

What changed when the Skill was used

In this controlled same-task single run, enabling team-composition-patterns changed the output from 3239 non-whitespace characters and 13 headings to 2420 characters and 15 headings. Matches among 8 signals extracted from the pinned source changed from 3 to 1. Both actual outputs are shown; this is a structural observation, not a quality score or a universal performance claim.

Same test task

Review a flawed account-settings implementation for a small SaaS product. Prioritize concrete issues, explain impact, and provide corrected examples or decisions. The deliverable must specifically reflect this user intent: 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-sta

Without the Skill
Screenshot of the actual model output for team-composition-patterns without the Skill

Baseline: 3239 non-whitespace characters, 13 headings, and 26 list items.

With the Skill
Screenshot of the actual model output for team-composition-patterns with the Skill

With Skill: 2420 non-whitespace characters, 15 headings, and 55 list items.

ObservationWithout SkillWith Skill
Source-signal coverage3/8: sizing, preset, debug1/8: debug
Output structure3239 chars · 13 headings · 26 list items · 5 code blocks2420 chars · 15 headings · 55 list items · 1 code blocks
Verification and caution signals9 verification signals · 3 risk/limitation signals12 verification signals · 8 risk/limitation signals

A prompt you can use

Use the team-composition-patterns Skill pinned at 367cb6a4a182 for my task. Follow its source-specific constraints around `team-composition-patterns`, `composition`, `patterns`, `sizing`, then return the finished deliverable with explicit assumptions, verification, failure conditions, and limits. Do not treat the Skill text as a factual source or claim that a single demonstration proves universal performance.

Method and limitationsExpand

Test method

  • Baseline and treatment used the same task, model (gpt-5.3-codex-low), and runner; the only planned difference was whether the complete target Skill text was injected.
  • The treatment used snapshot c4b82b0ad771190355eb8e204b1329732a18449a; the current source commit 367cb6a4a182cf7e9b0a17c9429f7411ddd9cf35 was verified against content hash 5d5fc2340956. The baseline explicitly prohibited loading any Skill or external rule file.
  • The same deterministic script counted characters, headings, lists, code blocks, verification terms, caution terms, and source signals in both artifacts. Source signals: `team-composition-patterns`, `composition`, `patterns`, `sizing`, `heuristics`, `preset`, `compositions`, `debug`.
  • The visuals are local screenshots of the actual Markdown artifacts in a fixed 1200 × 800 evidence canvas, not recreated product mockups. Raw JSON artifacts and request records are retained in the research directory.

Do not over-read this demo

  • This is one controlled demonstration per condition, not a multi-run statistical benchmark; the model is stochastic.
  • Character, structure, and keyword counts show observable differences but cannot by themselves prove correctness, originality, or business impact.
  • The task is a representative test designed for repeatability, not every real-world use of the Skill; rerun after a material source change.
Editorial review
SkillSignal editorial
Runner
Cursor Agent 2026.07.09-a3815c0
Model
gpt-5.3-codex-low
Refresh due
2026-11-18
Reviewed commit
367cb6a4a182cf7e9b0a17c9429f7411ddd9cf35
Test snapshot
c4b82b0ad771190355eb8e204b1329732a18449a

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/wshobson/agents --skill "plugins/agent-teams/skills/team-composition-patterns"
Safe inspection promptEditorial

Inspect the Agent Skill "team-composition-patterns" from https://github.com/wshobson/agents/blob/d82998e7df393c671ede2387a8435075f0b633f5/plugins/agent-teams/skills/team-composition-patterns/SKILL.md at commit d82998e7df393c671ede2387a8435075f0b633f5. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Review Team

    Size: 3 reviewers

    Size: 3 reviewersAgents: 3x team-reviewerDefault dimensions: security, performance, architecture
  2. 02

    When to Use This Skill

    Deciding how many teammates to spawn for a task

    Deciding how many teammates to spawn for a taskChoosing between preset team configurationsSelecting the right agent type (subagenttype) for each role
  3. 03

    Team Sizing Heuristics

    Rule of thumb: Start with the smallest team that covers all required dimensions. Adding teammates increases coordination overhead.

    Rule of thumb: Start with the smallest team that covers all required dimensions. Adding teammates increases coordination overhead.
  4. 04

    Preset Team Compositions

    Size: 3 reviewers

    Size: 3 reviewersAgents: 3x team-reviewerDefault dimensions: security, performance, architecture
  5. 05

    Debug Team

    Size: 3 investigators

    Size: 3 investigatorsAgents: 3x team-debuggerDefault hypotheses: 3 competing hypotheses

Permission review

Static risk signals and limitations

Network access

medium · line 57

The documentation includes network, browsing, or remote request actions.

**Capabilities**: Codebase search (Grep, Glob, Read), web search (WebSearch, WebFetch)

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score91/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars39,098SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guidetested outcome pageTestedGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
wshobson/agents
Skill path
plugins/agent-teams/skills/team-composition-patterns/SKILL.md
Commit
d82998e7df393c671ede2387a8435075f0b633f5
License
MIT
Collected
2026-08-25
Default branch
main
View the original SKILL.md

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

ComplexityTeam SizeWhen to Use
Simple1-2Single-dimension review, isolated bug, small feature
Moderate2-3Multi-file changes, 2-3 concerns, medium features
Complex3-4Cross-cutting concerns, large features, deep debugging
Very Complex4-5Full-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 TypeTools AvailableUse For
general-purposeAll tools (Read, Write, Edit, Bash, etc.)Implementation, debugging, any task requiring file changes
ExploreRead-only tools (Read, Grep, Glob)Research, code exploration, analysis
PlanRead-only toolsArchitecture planning, task decomposition
agent-teams:team-reviewerRead/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessageCode review with structured findings
agent-teams:team-debuggerRead/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessageHypothesis-driven investigation
agent-teams:team-implementerRead/Write/Edit/search/Bash plus TaskList/TaskGet/TaskUpdate/SendMessageBuilding features within file ownership boundaries
agent-teams:team-leadRead/search/Bash plus Agent Teams coordination toolsTeam 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"
}
ModeBehaviorBest For
"tmux"Each teammate in a tmux paneDevelopment workflows, monitoring multiple agents
"iterm2"Each teammate in an iTerm2 tabmacOS users who prefer iTerm2
"in-process"All teammates in same processSimple 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

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

Frequently asked questions

What to verify before installation and use

What does the team-composition-patterns source document cover?

Best practices for composing multi-agent teams, selecting team sizes, choosing agent types, and configuring display modes for Claude Code's Agent Teams feature.

How do I install team-composition-patterns?

The source record exposes this install command: npx skills add https://github.com/wshobson/agents --skill "plugins/agent-teams/skills/team-composition-patterns". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged network in the source; the page lists the matching lines and excerpts.

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