Agent skill

agent-teams

Quellcode ansehen: travisjneuman/.claude

#116Globales Ranking · von 116 SkillsSafe

Installation

npx skills add travisjneuman/.claude --skill agent-teams

149

Installationen

EU-hosted inference API

Power your AI agent skills with open-source models.

Drop-in OpenAI-compatible API. No data leaves Europe.

MiniMax

MiniMax M3

$0.50 / $1.90

per M tokens

Z.ai

GLM 5.3 Flash

$0.20 / $0.60

per M tokens

MoonshotAI

Kimi K3

$4.00 / $18.00

per M tokens

DeepSeek

DeepSeek V4.1 Flash

$0.40 / $1.42

per M tokens

Agent Teams Composition Skill

You have expertise in composing and orchestrating Claude Code Agent Teams. Use this knowledge when the user's task would benefit from parallel multi-session work.

Agent teams are off by default. Use them only when the user explicitly started the session with CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1; otherwise use ordinary subagents, and don't propose teams unprompted.

When Agent Teams Fit

With teams enabled, they fit when:

  • The user asks for comprehensive code review (suggest 3-reviewer team)
  • The task involves work across multiple layers (frontend + backend + database)
  • The user describes a bug with unclear root cause (suggest competing hypothesis investigation)
  • The user wants to evaluate multiple technologies or approaches (suggest research panel)
  • The task can be clearly split into independent, file-separated workstreams

Do NOT suggest agent teams when:

  • The task is sequential or involves same-file edits
  • A single session or subagent would suffice
  • The coordination overhead would exceed the benefit
  • The user is on a tight token budget

Team Templates

Full Review (3 teammates)

Security reviewer + Performance reviewer + Correctness reviewer (edge cases, error paths, callers).
Each reviews independently, then lead synthesizes findings.

Feature Dev (3 teammates)

Architect (plan approval required) + Implementer + Reviewer.
Architect plans first, implementer follows, reviewer validates the diff by review.

Debug Squad (3-5 teammates)

Each teammate investigates a different hypothesis.
Adversarial debate structure -- teammates challenge each other's theories.

Cross-Platform (3 teammates)

iOS developer + Android developer + Shared architect.
Each platform teammate owns their own directory. Architect coordinates API contracts.

Full-Stack (3 teammates)

Frontend + Backend + Database.
Clear file ownership per layer. Coordinate on API contracts first.

Research Panel (3 teammates)

Simplicity advocate + Performance advocate + Devil's advocate.
Each evaluates from a different perspective, then synthesize.

Spawn Prompt Formula

Every spawn prompt should include:

  1. Role: "You are the [role] teammate responsible for [domain]"
  2. Files: "You own files in [directories]. Do not modify files outside your scope."
  3. Focus: "Specifically look for / implement [details]"
  4. Context: "[Project-specific information the teammate needs]"
  5. Deliverable: "Report your findings as [format] / Implement [specific output]"

Cross-Platform Awareness

  • macOS and Linux: full support (in-process + tmux split panes)
  • Windows: in-process mode only (automatic with auto setting)
  • Always use --teammate-mode auto (default) for automatic detection

Related Documentation

  • ~/.claude/docs/AGENT-TEAMS.md - Full guide with examples
  • ~/.claude/docs/reference/workflows/agent-teams.md - Decision framework
  • ~/.claude/commands/assemble-team.md - Quick team assembly command

So verwenden Sie diesen Skill

  1. 1

    Install agent-teams by running npx skills add travisjneuman/.claude --skill agent-teams in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

  2. 2

    Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

  3. 3

    Der Skill verbessert das Verständnis Ihres Agenten für agent-teams, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.