agent-development

To create an autonomous AI agent for Claude Code plugins, define the agent file structure, configure frontmatter requirements like name, description, model, color, and tools, and design a system prompt. This skill guides both AI-assisted generation and manual workflows.

Frontmatter requirements for Claude Code agent files include defining a name, description, model, color, and tools. These fields ensure the autonomous agent is properly structured, triggerable, and performs reliably within the plugin environment.

Triggering conditions for a Claude Code agent are defined by writing an effective description field with example blocks. This ensures precise agent activation when specific user intents or contexts are matched during execution.

You can manually create AI agents or use AI-assisted generation workflows. Both methods are supported to help you structure files, define frontmatter, write system prompts, and establish triggering conditions for your Claude Code plugins.

Best practices for system prompt design in agent development include following guidelines for naming, model selection, color coding, and tool usage. Proper prompt design ensures autonomous agents trigger correctly and perform reliably.

If your Claude Code agent fails to trigger, the description field likely lacks effective example blocks. Refining triggering conditions with precise examples ensures the autonomous agent activates appropriately for its intended use case.