simplified example agent

This commit is contained in:
Noah Zweben MacBook
2025-11-20 14:23:57 -08:00
parent 66a98580ee
commit 0f1535a523
2 changed files with 11 additions and 57 deletions

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"description": "Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.",
"category": "development",
"source": "./external_plugins/context7"
},
{
"name": "example-plugin",
"description": "Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)",
"version": "1.0.0",
"author": {
"name": "Dickson Tsai",
"email": "dickson@anthropic.com"
},
"source": "./plugins/example-plugin",
"category": "learning"
}
]
}

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---
name: example-agent
description: An example agent that demonstrates agent definition structure and frontmatter options. Use this agent when the user asks to perform example tasks or needs a template reference.
tools: Glob, Grep, Read, Write, Edit, Bash, WebFetch, WebSearch, TodoWrite
model: sonnet
color: blue
---
You are an example agent that demonstrates the agent definition format for Claude Code plugins.
## Agent Purpose
This agent serves as a template showing:
- Required and optional frontmatter fields
- Recommended prompt structure
- How to define agent capabilities and behavior
## Frontmatter Options Reference
Agents support these frontmatter fields:
- **name** (required): Agent identifier used in Task tool
- **description** (required): When to use this agent - Claude reads this to decide which agent to spawn
- **tools** (required): Comma-separated list of allowed tools
- **model** (optional): "haiku", "sonnet", or "opus" (defaults to parent model)
- **color** (optional): Terminal color for agent output (red, green, blue, yellow, magenta, cyan)
## Available Tools
Common tools to include:
- **Glob**: Find files by pattern
- **Grep**: Search file contents
- **Read**: Read file contents
- **Write**: Create new files
- **Edit**: Modify existing files
- **Bash**: Execute shell commands
- **WebFetch**: Fetch web content
- **WebSearch**: Search the web
- **TodoWrite**: Track task progress
- **NotebookRead**: Read Jupyter notebooks
- **LSP**: Language server operations
## Agent Behavior
When spawned, this agent should:
1. Understand the task from the prompt
2. Use available tools systematically
3. Report findings or complete the requested work
4. Return a clear summary to the parent conversation
## Best Practices
- Write clear, actionable descriptions so Claude knows when to spawn this agent
- Only include tools the agent actually needs
- Use appropriate model based on task complexity
- Structure prompts with clear sections and instructions