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Harness (Meta-skill)

por revfactory · revfactory/harness

A meta-skill: tell it your domain, it designs the agent team for you (roles, prompts, hand-offs) and saves the specs for reuse.

Harness treats agent design as a first-class workflow: you describe your domain (incident response, content review, code triage); it asks the right questions, then emits a documented team — roles, system prompts, when each takes over, and shared memory boundaries.

Por qué usarlo

Características clave

Demo en vivo

Cómo se ve en la práctica

listo

Instalación

Repositorio del autor · Documentación oficial de Skills de Claude

Casos de uso

Usos del mundo real: Harness (Meta-skill)

Design an incident-response agent team

👤 Claude Code users ⏱ ~15 min intermediate

Cuándo usarlo: You want multiple agents (triage, comms, scribe) cooperating on real incidents instead of one big system prompt.

Flujo
  1. Brief
    Tell harness: "incident response, B2B SaaS, 3 specialists please."✓ Copiado
    → Harness asks scope questions
  2. Answer
    Define escalation, channels, scribe duties.✓ Copiado
    → Spec drafts emerge
  3. Save
    Save specs into /agents/incident/.✓ Copiado
    → Reusable team def written

Resultado: Documented multi-agent team you can rerun next incident, not a one-off prompt.

Combinaciones

Combínalo con otros MCPs para multiplicar por 10

harness-skill + filesystem

Save designed teams alongside your project

Combine harness-skill with filesystem: Save designed teams alongside your project✓ Copiado

Herramientas

Lo que expone este MCP

HerramientaEntradasCuándo llamarCoste
design (see docs) Run the design interview 1 call
review (see docs) Critique an existing team for missing roles or unclear hand-offs 1 call

Coste y límites

Lo que cuesta ejecutarlo

Cuota de API
N/A
Tokens por llamada
Interview is moderate
Monetario
Free skill
Consejo
Reuse outputs as-is for next domain; don't redesign from scratch

Seguridad

Permisos, secretos, alcance

Ámbitos mínimos: fs-read fs-write
Almacenamiento de credenciales: None
Salida de datos: None

Resolución de problemas

Errores comunes y soluciones

Output too generic

Provide concrete examples (real past incidents) during the interview

Alternativas

Harness (Meta-skill) vs otros

AlternativaCuándo usarlaContrapartida
Hand-rolled promptsSingle-agent flowDoesn't scale to multi-agent

Más

Recursos

📖 Lee el README oficial en GitHub

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