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- Claude Code Model Router: Delegate Work to Cheap Models
Works with the AI Agents you already use
Claude Code Model Router: Delegate Work to Cheap Models
Save your Claude limits by dispatching token hungry tasks to cheaper subagents like GLM, Kimi, DeepSeek etc.
$5
Claude Code Model Router: Delegate Work to Cheap Models
Example session with this skill installed
I want to set up a worker for DeepSeek via OpenRouter so I can offload some boilerplate coding tasks without hitting my Anthropic limits.
- Read your context and instructions
- Compiled the claude code model
I will help you set up a DeepSeek worker. We'll use a dedicated configuration directory to ensure your OpenRouter credentials don't interfere with your primary Anthropic session.
DeepSeek Worker Setup
To initialize the worker, run the following commands in your terminal:
# 1. Create the worker using the OpenRouter preset
"${CLAUDE_PLUGIN_ROOT}/scripts/setup-worker.sh" create deepseek --provider openrouter
# 2. Add your OpenRouter API key (this avoids leaking it in your shell history)
# Replace 'sk-or-...' with your actual key
printf 'sk-or-your-api-key' | "${CLAUDE_PLUGIN_ROOT}/scripts/setup-worker.sh" set-key deepseek
# 3. Finalize the headless configuration
"${CLAUDE_PLUGIN_ROOT}/scripts/setup-worker.sh" finalize deepseek
Once finalized, you can delegate tasks to this worker. The worker will operate in its own sandbox at ~/.claude-workers/deepseek/.
Example dispatch command:
~/.claude-workers/deepseek/run -p "Write standard CRUD boilerplate for the user_profile model in lib/models.go" --permission-mode acceptEdits
Next steps
- Verify the connection by running
~/.claude-workers/deepseek/runto start an interactive test session. - Review
~/.claude-workers/deepseek/settings.jsonif you need to manually adjust model mappings (e.g., pointing Sonnet todeepseek/deepseek-chat). - Add the delegation rules from
templates/delegation-rules.mdto yourCLAUDE.mdto improve worker reliability.
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About this skill
Manager/worker orchestration for Claude Code: keep your smartest model as the manager and delegate implementation to cheap subagents and workers on z.ai GLM, Kimi, DeepSeek, Ollama, or any Anthropic-compatible API — and see exactly how many tokens you save.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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