team-composition-patterns
team-composition-patterns is an Agent, team & workflow authoring skill for AI agents, published by wshobson in the agents repository on GitHub. Skillspace rates team-composition-patterns C (73/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 39,622
Placed #1 of 6 in the judged category final for Agent, team & workflow authoring.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 6 in the judged category final for Agent, team & workflow authoring.
- Trigger
88 88 - Instructions
78 78 - Specificity
80 80 - Safety
70 70 - Disclosure
62 62 - Maintenance
45 45
Concrete sizing heuristics, named team presets, and a subagent_type-to-tool-access table make this an unusually actionable, well-scoped skill.
Not checked yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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