菜单
Multiple LLM backends in one workshop. Claude and Codex agents working together. Use when different models have different strengths.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Declarative multi-stage workflows. Define staged pipelines where each stage feeds its result to the next. Use for structured multi-agent tasks.
GitHub integration via gh CLI. List issues, create PRs, comment on issues. Use for agents that bridge GitHub and the Workshop board.
Autonomous board worker. Receives work items, implements them, reports results. Designed for agents that poll the board and execute tasks independently.
Work board driven development. Post typed work items with dependencies, agents poll by role. Use for multi-step features where ordering matters.
Scheduled agent for periodic checks. Use for CI monitoring, PR scanning, health checks, or any polling-based workflow.
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.
| 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"} |
Different LLMs for different roles. Same Workshop API regardless of backend.
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")