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Switch a Worker Agent's LLM model via hiclaw CLI. Use when the human admin requests changing a Worker's model.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Analyze current OpenClaw setup and generate a migration package (ZIP) for importing into HiClaw as a managed Worker
Use before direct filesync calls, reading non-task shared files, pushing mid-task progress, or troubleshooting missing shared files. Do not use for normal task acceptance or submission; taskflow ack_task and submit_task handle lifecycle sync internally.
Discover and install agent skills from the open ecosystem. Use when you encounter an unfamiliar domain, framework, or workflow that you lack specialized knowledge about, or when your coordinator suggests searching for skills before starting a task.
Use only when you need to look up team topology, worker phase, runtime state, or identity that is NOT available from the current message context. Do not use for standard task flows — the coordinator is the message sender, and the task room is in meta.json.room_id.
Sync files with centralized storage. Use when your coordinator or another Worker notifies you of file updates (config changes, task files, shared data, collaboration artifacts).
Discover and install agent skills from the open ecosystem. Use when you encounter an unfamiliar domain, framework, or workflow that you lack specialized knowledge about, or when your coordinator suggests searching for skills before starting a task.
| name | worker-model-switch |
| description | Switch a Worker Agent's LLM model via hiclaw CLI. Use when the human admin requests changing a Worker's model. |
Switch a Worker's LLM model using the hiclaw CLI. The controller handles all details: model parameter resolution, openclaw.json generation, storage push, and container recreation.
hiclaw update worker --name <WORKER_NAME> --model <MODEL_ID>
Examples:
hiclaw update worker --name alice --model claude-sonnet-4-6
hiclaw update worker --name alice --model deepseek-chat
The controller automatically:
spec.modelopenclaw.json and pushes it to storageYou do NOT need to specify context window, reasoning, or any model parameters — the controller knows them.
The CLI prints worker/<name> configured. The controller reconciles the change automatically. No manual restart is needed.
Report the CLI error output to the human admin. Common causes:
If the admin requests a model not in the controller's built-in registry, the controller uses safe defaults (contextWindow=150000, maxTokens=128000, reasoning=true, input=["text"]). If the admin needs specific parameters for an unknown model, they should update the controller's model registry rather than overriding at the skill level.