Instructions
Scaffold a new AG2 ConversableAgent with tool functions, system prompt, and LLM config
- Commands
- General
- 0
What it does and how to use it
A /slash command, ready to use, that runs a general workflow in a single step.
- Install the command (command above).
- In Claude Code, type "/" followed by the command name.
- Follow the instructions the command asks for and let it run.
Install (Claude Code)
mkdir -p .claude/commands && curl -fsSL https://doutorai.pt/data/lib/commands__davepoon-subagents__commands-new-agent.md -o .claude/commands/davepoon-subagents__commands-new-agent.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
description: Scaffold a new AG2 ConversableAgent with tool functions, system prompt, and LLM config
category: api-development
argument-hint: <agent-name>
---
You are scaffolding a new AG2 (AutoGen) agent. Follow the AG2 framework patterns exactly.
## Instructions
1. Ask the user for:
- Agent name and purpose
- What tools/capabilities it needs
- Which LLM model to use (default: gpt-4o-mini)
- Whether it needs external API access
2. Create the agent following this exact structure:
### File Structure
```
agents/<agent-name>/
<agent_name>.py # Agent definition + tools
R
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