Team Composition Patterns
Suggests optimal team compositions based on project goals, member skills, and historical performance data.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add team-composition-patterns npx -- -y @trustedskills/team-composition-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"team-composition-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/team-composition-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The team-composition-patterns skill helps users identify and apply effective team composition strategies for AI agents. It provides insights into how to structure teams based on roles, skills, and goals, ensuring optimal collaboration and performance.
When to use it
- When forming a new team of AI agents for a complex project.
- When optimizing an existing team's structure for better efficiency or adaptability.
- When preparing for dynamic environments that require flexible team configurations.
Key capabilities
- Analyzes roles and responsibilities within teams.
- Recommends composition strategies based on task requirements.
- Provides insights into balancing skills and expertise in a team.
Example prompts
- "How should I structure my AI agents to handle customer support and data analysis tasks?"
- "What are the best team patterns for handling unpredictable project needs?"
- "Can you suggest a team composition that balances creativity and analytical skills?"
Tips & gotchas
- Ensure your AI agents have clearly defined roles before using this skill.
- This skill works best when combined with other tools that assess individual agent capabilities.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.