Agent Development

Architect Claude Code plugin agent definitions with frontmatter triggers and structured system prompts.

2|2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/patronus-ai/skill-inject --skill agent-development-patronus-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Development
Source: https://github.com/patronus-ai/skill-inject/tree/main/data/skills/agent-identifier
Command: npx skills add https://github.com/patronus-ai/skill-inject --skill agent-development-patronus-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design well-structured autonomous agent configurations by clarifying when to trigger an agent, how to write robust frontmatter descriptions, and how to author system prompts that behave consistently.

Core Features & Use Cases

  • Agent-trigger guidance: Define precise “Use this agent when…” conditions so Claude selects the right agent for the right user intent.
  • Frontmatter conventions: Use a validated name and example-rich description with the required formatting patterns for reliable discovery and activation.
  • System prompt architecture: Write second-person role instructions with responsibilities, analysis process, quality standards, edge-case handling, and explicit output formatting.
  • Practical use cases: Create Claude Code plugin agents for tasks like autonomous planning, tool-using workflows, subagent design, and consistent agent behavior across domains.

Quick Start

Use this skill when you need to create a new Claude Code plugin agent and want correct frontmatter triggers and a structured system prompt for dependable autonomous behavior.

Frequently Asked Questions about Agent Development

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

FAQPage Schema
How do I write a Claude Code plugin agent that triggers reliably?

To trigger a Claude Code plugin agent reliably, you must define precise "Use this agent when..." conditions and use an example-rich description in the frontmatter. This ensures Claude selects the correct agent for the specific user intent.

What should be included in a system prompt for autonomous agent design?

A system prompt for autonomous agent design should include second-person role instructions, analysis processes, quality standards, edge-case handling, and explicit output formatting. This structure ensures consistent agent behavior across various workflows.

How do frontmatter triggering conditions affect Claude Code plugin activation?

Frontmatter triggering conditions directly affect Claude Code plugin activation by defining the exact user intents that match the agent. Using validated name and example-rich description formatting patterns ensures dependable discovery and activation.

Can I use this approach to create tool-restricted subagents?

Yes, you can use this approach to create tool-restricted subagents and tool-using workflows. The architecture supports designing autonomous agents and subagent libraries across many domains while maintaining consistent behavior through structured prompts.

Why does my Claude Code agent activate for the wrong user intents?

Your Claude Code agent likely activates for wrong user intents because the frontmatter description lacks precise triggering conditions or sufficient examples. Defining explicit "Use this agent when..." conditions fixes incorrect agent selection and discovery.