Ejecuta cualquier Skill en Manus
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Ejecuta cualquier Skill en Manus con un clic

mixed

Multiple LLM backends in one workshop. Claude and Codex agents working together. Use when different models have different strengths.

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Resumen

Multiple LLM backends in one workshop. Claude and Codex agents working together. Use when different models have different strengths.

Comando de instalación

npx skills add https://github.com/joshrotenberg/agent_workshop --skill mixed

Copia y pega este comando en Claude Code para instalar la habilidad

Fuente

joshrotenberg/agent_workshop

Estrellas0

Forks0

Actualizado2 de abril de 2026, 19:53

SKILL.md

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name	mixed
description	Multiple LLM backends in one workshop. Claude and Codex agents working together. Use when different models have different strengths.
license	MIT
metadata	{"author":"joshrotenberg","version":"1.0"}

Mixed Backends

Different LLMs for different roles. Same Workshop API regardless of backend.

Setup

configure(backend: AgentWorkshop.Backends.Claude,
  backend_config: ClaudeWrapper.Config.new(working_dir: "."))

agent(:impl, "You write code.", model: "sonnet")
agent(:reviewer, "Review only.",
  backend: AgentWorkshop.Backends.Codex,
  backend_config: CodexWrapper.Config.new(working_dir: "."),
  model: "o3")

When to use

Different models excel at different tasks
You want multiple perspectives from different LLMs
Cost optimization (cheaper model for simple tasks)

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GitHub integration via gh CLI. List issues, create PRs, comment on issues. Use for agents that bridge GitHub and the Workshop board.

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board-worker

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Autonomous board worker. Receives work items, implements them, reports results. Designed for agents that poll the board and execute tasks independently.

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board

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Work board driven development. Post typed work items with dependencies, agents poll by role. Use for multi-step features where ordering matters.

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monitor

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Scheduled agent for periodic checks. Use for CI monitoring, PR scanning, health checks, or any polling-based workflow.

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orchestrator

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Coordinate a team of AI agents to build software. Break tasks down, create specialist agents from profiles, delegate via ask/cast, review results, and clean up. Use when you need to orchestrate multi-agent workflows.

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Fuente

joshrotenberg

joshrotenberg/agent_workshop

Abrir repositorio de GitHub Ver repositorios del creador

Comando de instalación

Descarga

Ejecutar en Manus

Útil paraSOC

Desarrolladores de softwareOcupaciones informáticas y matemáticas15-1252L4

name	mixed
description	Multiple LLM backends in one workshop. Claude and Codex agents working together. Use when different models have different strengths.
license	MIT
metadata	{"author":"joshrotenberg","version":"1.0"}

Mixed Backends

Different LLMs for different roles. Same Workshop API regardless of backend.

Setup

configure(backend: AgentWorkshop.Backends.Claude,
  backend_config: ClaudeWrapper.Config.new(working_dir: "."))

agent(:impl, "You write code.", model: "sonnet")
agent(:reviewer, "Review only.",
  backend: AgentWorkshop.Backends.Codex,
  backend_config: CodexWrapper.Config.new(working_dir: "."),
  model: "o3")

When to use

Different models excel at different tasks
You want multiple perspectives from different LLMs
Cost optimization (cheaper model for simple tasks)