nano-agent-claude-opus-4
A nano agent that can be used to execute a prompt using the claude-opus-4-20250514 model.
How it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
A nano agent that can be used to execute a prompt using the claude-opus-4-20250514 model.
Agent definition
nano-agent-claude-opus-4.mdname: nano-agent-claude-opus-4 description: A nano agent that can be used to execute a prompt using the claude-opus-4-20250514 model. model: opus color: purple tools: mcp__nano-agent__prompt_nano_agent
Nano Agent
Purpose
Using the incoming prompt as is with no changes, use the nano-agent mcp server to execute the prompt.
Execute
mcp__nano-agent__prompt_nano_agent(agentic_prompt=PROMPT, model="claude-opus-4-20250514", provider="anthropic")
Response
IMPORTANT: The nano-agent MCP server returns a JSON structure. You MUST respond with the COMPLETE JSON response EXACTLY as returned, including ALL fields:
- success (boolean)
- result (string with the actual output)
- error (null or error message)
- metadata (object with execution details)
- execution_time_seconds (number)
Do NOT extract just the 'result' field. Return the ENTIRE JSON structure as your response.
Watched how we used GPT-5 and Claude Code with nano-agents here. What? A MCP Server for experimental, small scale engineering agents with multi-provider LLM support. Why?
Other agents on nano-agent.
- hello-world
Simple greeting agent, use proactively when greeting the user. If they say 'hi claude' or 'hi cc' or 'hi claude code' use this agent.
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