What is a Claude Code Agent?

An agent is an autonomous subprocess designed to handle complex, multi-step tasks independently within the Claude Code environment.

What is the difference between an agent and a command?

Agents are designed for autonomous, background reasoning and multi-step work, while commands are intended for direct, user-initiated actions.

How are agents triggered?

Agents are triggered via the 'description' field in their markdown file, which should include specific conditions and multiple usage examples with context.

What are the naming conventions for agents?

Agent identifiers must be 3-50 characters long, use only lowercase letters, numbers, and hyphens, and must start and end with an alphanumeric character.

Why is the model set to 'inherit' by default?

The 'inherit' setting ensures the agent uses the same model as the parent process, maintaining behavioral consistency and optimizing resource usage.

Agent Development Guide

Name: Agent Development Guide
Author: Activer007

byActiver007

Developer Tools

Provides standardized patterns and best practices for creating autonomous agents within Claude Code plugins.

About

This skill serves as a comprehensive framework for developers looking to build autonomous subprocesses within the Claude Code ecosystem. It defines the required markdown file structure, YAML frontmatter standards, and sophisticated triggering mechanisms needed to ensure agents activate correctly. By following these established patterns for system prompt design and tool selection, developers can create reliable, domain-specific agents that handle complex, multi-step tasks independently while maintaining high-quality output and consistent behavior.

Key Features

Validation rules for identifiers, descriptions, and tool configurations
Best practices for structured system prompt engineering and persona design
AI-assisted agent generation prompt patterns for rapid development
0 GitHub stars
Advanced triggering logic using context-aware examples and commentary
Standardized YAML frontmatter templates for agent metadata

Use Cases

Implementing complex multi-step workflows that require dedicated agent personas
Creating specialized code reviewers or security analyzers within a plugin
Standardizing how autonomous sub-agents are triggered by specific user requests

About

Key Features

Validation rules for identifiers, descriptions, and tool configurations
Best practices for structured system prompt engineering and persona design
AI-assisted agent generation prompt patterns for rapid development
0 GitHub stars
Advanced triggering logic using context-aware examples and commentary
Standardized YAML frontmatter templates for agent metadata

Use Cases

Implementing complex multi-step workflows that require dedicated agent personas
Creating specialized code reviewers or security analyzers within a plugin
Standardizing how autonomous sub-agents are triggered by specific user requests