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mixed

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

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Überblick

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

Installationsbefehl

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

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um den Skill zu installieren

Quelle

joshrotenberg/agent_workshop

Sterne0

Forks0

Aktualisiert2. April 2026 um 19:53

SKILL.md

readonly

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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workflow

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Declarative multi-stage workflows. Define staged pipelines where each stage feeds its result to the next. Use for structured multi-agent tasks.

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github

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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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Quelle

joshrotenberg

joshrotenberg/agent_workshop

GitHub-Repository öffnen Creator-Repositorys ansehen

Installationsbefehl

Download

In Manus ausführen

Nützlich fürSOC

SoftwareentwicklerInformatik- und Mathematikberufe15-1252L4

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)