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agent

Generate AGENT.md system prompt injection documents for AI agents.

4|2|Updated Dec 28, 2025
Search Tags:#developer tools#documentation#AI development#system prompt#agent
One-click install
npx skills add https://github.com/lazygophers/ccplugin --skill agent-lazygophers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent
Source: https://github.com/lazygophers/ccplugin/tree/main/.claude/agents
Command: npx skills add https://github.com/lazygophers/ccplugin --skill agent-lazygophers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation of comprehensive documentation for AI agents, ensuring clarity in their roles, behaviors, and knowledge injection.

Core Features & Use Cases

  • AGENT.md Generation: Creates system prompt injection documents for sub-agents.
  • Role Definition: Clearly defines agent responsibilities, triggers, and knowledge scope.
  • Use Case: When developing a new AI agent for code review, use this Skill to generate its AGENT.md, specifying its expertise in Python PEP8 standards and its trigger conditions based on .py file detection.

Quick Start

Use the agent skill to create documentation for a new agent that specializes in Python code quality.

Frequently Asked Questions about agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an AGENT.md file to define an AI agent's system prompt?▼

An AGENT.md system prompt injection document defines an AI agent's behavior, context, and expertise. It is needed when integrating sub-agents into AI systems to clearly specify their responsibilities, trigger conditions, and knowledge scope for tasks like code review.

What is the best way to define an AI agent's trigger conditions and coding standards?▼

Defining an AI agent's role and knowledge scope involves generating a structured AGENT.md document. This file specifies the agent's responsibilities, expertise boundaries, and exact trigger conditions, ensuring clear context and behavior for sub-agent integration.

Can I specify Python PEP8 standards as knowledge injection for a code review agent?▼

Yes, you can specify Python PEP8 standards as knowledge injection for a code review agent. The Skill generates the AGENT.md documentation where you define the agent's expertise and trigger conditions, such as detecting .py files for quality checks.

When do I need to create system prompt injection documentation for AI agents?▼

You need to create system prompt injection documentation when developing a new AI agent or sub-agent for integration within AI systems. It ensures clarity in their roles and knowledge scope, such as defining a specialized agent for Python code quality.

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