skills.rest
RepairYourTech
RepairYourTechCOMMUNITY
Explore all skills by this author →
GitHub

Agent Development

Define agent file structure, frontmatter fields, and system prompts.

6|1|Updated Feb 27, 2026
Search Tags:#claude code#ai agents#autonomous agents#agent development#system prompts#triggering conditions
One-click install
npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill agent-development-repairyourtech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Agent Development
Source: https://github.com/RepairYourTech/cfsa-antigravity/tree/main/.agent/skill-library/meta/claude-code/agent-development
Command: npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill agent-development-repairyourtech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and best practices for developing autonomous AI agents, enabling users to create more capable and structured AI subprocesses.

Core Features & Use Cases

  • Agent Structure Definition: Learn the required file format, frontmatter fields, and system prompt structure for agents.
  • Triggering Conditions: Understand how to define effective description fields with examples to ensure agents are invoked correctly.
  • Best Practices: Follow guidelines for system prompt design, identifier validation, and agent organization.
  • Use Case: A developer needs to create a new agent for their AI assistant that can analyze code for potential bugs. They would use this Skill to understand how to structure the agent's SKILL.md file, define its triggering conditions, and write an effective system prompt.

Quick Start

Consult the Agent Development skill for guidance on creating a new AI agent.

Frequently Asked Questions about Agent Development

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

FAQPage Schema
How do I structure an autonomous AI agent for an AI assistant?▼

To structure an autonomous AI agent, you must define a specific file format, populate required frontmatter fields, and write a system prompt following established best practices. This ensures the agent is structured, discoverable, and functional on AI platforms.

What are triggering conditions in autonomous agents and how do I define them?▼

Triggering conditions in autonomous agents ensure your subprocess is invoked correctly. You define them by writing effective description fields with examples, which dictate when the AI platform should activate the specific agent.

How do I write a system prompt for an autonomous AI agent?▼

Writing a system prompt for an autonomous AI agent requires following specific design guidelines to ensure structured behavior. The process involves defining clear instructions and validation rules within the agent's file.

What is the required file structure for developing autonomous agents?▼

The required file structure for developing autonomous agents centers around a SKILL.md file. This file contains frontmatter fields, system prompt instructions, and validation rules necessary for the AI platform to discover and run the agent.

How do I validate identifiers when building autonomous AI agents?▼

Validating identifiers when building autonomous AI agents involves applying specific validation rules to the frontmatter fields. This ensures the agent meets the platform's structural requirements for proper organization and discoverability.

Related Skills

Explore More Software Engineering Skills→
rafazshrafazsh

Agent Development

Create structured Claude Code agent configurations with system prompts and validation.

Community
Advanced
nilecuinilecui
27

Agent Development

Create autonomous AI agents with defined structure, triggers, and system prompts.

Community
Advanced
kaustubhhiwarekaustubhhiware

agent-development

Guide creation of autonomous agents for Claude Code plugins.

Community
Intermediate
4lerman4lerman

senior-prompt-engineer

Optimize prompts for clarity, token efficiency, and structured output.

Community
Advanced