Skip to content
TrustedSkillsbeta
Back to all skills

Team Composition Patterns

Checked
wshobson·vlatest·other·MIT

Suggests optimal team compositions based on project goals, member skills, and historical performance data.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill team-composition-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
46891e7e60
Manifest
plugins/agent-teams/skills/team-composition-patterns/SKILL.md
Scanned
3 files, 471 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.