SkillCheatSheet
team-composition-patterns
An AI agent skill from wshobson/agents, scored 72 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
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-standard workflow such as a migration or security audit.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- wshobson/agents
- Folder
- plugins/agent-teams/skills/team-composition-patterns
- License
- MIT
- GitHub stars
- 42,433
- SKILL.md lines
- 142
- Other files
- 2
Add team-composition-patterns to your agent
npx skills add wshobson/agents --skill team-composition-patternsThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.