travisjneuman

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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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Preis unbestätigt★ 95 GitHub-StarsVerzeichnis aktualisiert · 7. Sept. 2026agent-skill

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

Vollständige Dokumentation lesen

Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.

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
  • ~/.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
Dateimetadaten
name: agent-teams
description: Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
allowed-tools: []
Originaltext anzeigen
---
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

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Preis und Betriebskosten

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Lizenz
MIT
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Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: 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
Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

  1. 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
  2. 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
  3. 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository
travisjneuman/.claude
Lizenz
MIT
Version
1.0.0
Letzter GitHub-Push
5. Sept. 2026
Verzeichnis aktualisiert
7. Sept. 2026

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

64/100

Vielversprechend

Vertrauen

55/100

Do not auto-install

Audit

71/100

Prüfung nötig

  • 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
—
Ergebnisse
—

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Weitere Details
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travisjneuman
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