team-composition-patterns
Focuses on HR team composition patterns, optimizing team structure and collaboration efficiency using intelligent automation and multi-agent orchestration, improving project success rates.
npx skills add wshobson/agents --skill team-composition-patternsBefore / After Comparison
1 组Team formation often relies on experience, making it difficult to scientifically assess member capabilities and compatibility. Unreasonable resource allocation affects team collaboration efficiency and project progress.
Intelligent automation analyzes member strengths to optimize team composition. This achieves efficient resource allocation, significantly boosting team collaboration efficiency and project success rates.
description SKILL.md
team-composition-patterns
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
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Deciding how many teammates to spawn for a task
-
Choosing between preset team configurations
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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
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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)
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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
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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
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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
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Avoid duplicate roles — Two agents doing the same thing wastes resources
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Define boundaries upfront — Each teammate needs clear ownership of files or responsibilities
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Keep it small — 2-4 teammates is the sweet spot; 5+ requires significant coordination overhead
Weekly Installs2.1KRepositorywshobson/agentsGitHub Stars31.5KFirst SeenFeb 5, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled ongemini-cli1.7Kopencode1.7Kcodex1.6Kclaude-code1.6Kcursor1.5Kgithub-copilot1.5K
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