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agent-teams

Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

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Precio sin confirmar★ 95 Estrellas de GitHubRegistro actualizado · 7 sept 2026agent-skill

Resumen

Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

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.

When to Suggest Agent Teams

Proactively suggest agent teams 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 + Test coverage reviewer. Each reviews independently, then lead synthesizes findings.

Feature Dev (3 teammates)

Architect (plan approval required) + Implementer + Test writer. Architect plans first, implementer follows, test writer validates.

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:

Role: "You are the [role] teammate responsible for [domain]"
Files: "You own files in [directories]. Do not modify files outside your scope."
Focus: "Specifically look for / implement [details]"
Context: "[Project-specific information the teammate needs]"
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

~/.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

Ver fuente ↗

Metadatos del archivo

name: agent-teams
description: Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
allowed-tools: []

Ver texto original

---
name: agent-teams
description: Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
allowed-tools: []
---

# 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.

## When to Suggest Agent Teams

Proactively suggest agent teams 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 + Test coverage reviewer.
Each reviews independently, then lead synthesizes findings.

### Feature Dev (3 teammates)

Architect (plan approval required) + Implementer + Test writer.
Architect plans first, implementer follows, test writer validates.

### 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

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
No critical issues found. The skill does not use any tools, commands, or access external resources, so security risk is minimal.
The skill references external documentation files (e.g., ~/.claude/docs/AGENT-TEAMS.md) that are not included in the repository, but this is acceptable as the SKILL.md itself is self-contained enough for basic usage.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 95 GitHub stars
Stars/forks activity: 95 stars, 23 forks; issue activity unavailable in current metadata
Dependency/runtime risk: credential or environment access, network or browser surface
Permission surface: secrets or environment access, shell or command execution

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: travisjneuman/.claude
Licencia: MIT
Versión: 1.0.0
Último push de GitHub: 5 sept 2026
Registro actualizado: 7 sept 2026
Ruta de instrucciones: skills/agent-teams/SKILL.md @ 0e5a7dfe253b

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

64/100

Prometedor

Confianza

55/100

Do not auto-install

Auditoría

71/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
No critical issues found. The skill does not use any tools, commands, or access external resources, so security risk is minimal.
The skill references external documentation files (e.g., ~/.claude/docs/AGENT-TEAMS.md) that are not included in the repository, but this is acceptable as the SKILL.md itself is self-contained enough for basic usage.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 95 GitHub stars
Stars/forks activity: 95 stars, 23 forks; issue activity unavailable in current metadata
Dependency/runtime risk: credential or environment access, network or browser surface
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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Creador: travisjneuman
Fuente: travisjneuman/.claude
Indexado por: Índice comunitario de OpenAgentSkill

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