Agent Development

Guide creation of autonomous AI agents for Claude Code plugins.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/opensesh/BOS-2.0 --skill agent-development-opensesh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Development
Source: https://github.com/opensesh/BOS-2.0/tree/main/.claude/plugins/plugin-dev/skills/agent-development
Command: npx skills add https://github.com/opensesh/BOS-2.0 --skill agent-development-opensesh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides comprehensive guidance and best practices for creating, structuring, and validating autonomous AI agents, enabling users to build more powerful and reliable AI capabilities.

Core Features & Use Cases

  • Agent Structure: Learn the required file format, frontmatter fields (name, description, model, color, tools), and system prompt design.
  • Triggering Conditions: Understand how to write effective description fields with <example> blocks to ensure agents are invoked correctly.
  • Best Practices: Follow guidelines for system prompt design, agent organization, and testing.
  • Use Case: A developer needs to create a new agent for their plugin that analyzes code quality. They can use this Skill to understand the exact format, required fields, how to write good triggering examples, and how to structure the system prompt for the code analysis task.

Quick Start

Use the agent development skill to learn how to create a new agent for your plugin.

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 my plugin?

Autonomous AI agents require a specific file structure with frontmatter fields like `name`, `description`, `model`, `color`, and `tools`, alongside a well-defined system prompt for robust behavior.

How do triggering conditions work for AI agents?

Triggering conditions ensure AI agents are invoked correctly by writing effective `description` fields populated with `<example>` blocks to match user intent.

What are the best practices for writing system prompts for autonomous agents?

Best practices for system prompts involve following established guidelines for agent organization, prompt design, and testing to ensure reliable and well-defined autonomous behavior.

Can I use this to create an agent that analyzes code quality?

Yes, you can build a code quality analysis agent by applying provided templates, defining required frontmatter fields, and structuring the system prompt specifically for code review tasks.

What validation rules apply when developing AI agents?

Validation rules for AI agents enforce robust creation by verifying required frontmatter fields, checking triggering examples, and confirming correct file structure.