agent-development

Define autonomous agent configurations for Claude Code plugins with frontmatter and triggering rules.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/teocns/proxify-cc-mirror --skill agent-development-teocns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-development
Source: https://github.com/teocns/proxify-cc-mirror/tree/main/skills/agent-development
Command: npx skills add https://github.com/teocns/proxify-cc-mirror --skill agent-development-teocns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured approach to designing and publishing robust agent configurations for Claude Code plugins. It standardizes frontmatter, triggering logic, and system prompts, helping teams produce consistent, reusable agents that can be safely deployed across projects.

Core Features & Use Cases

  • Frontmatter-driven agent metadata generation (name, description, model, color, tools, mcpServers) to ensure consistent discovery and invocation.
  • Triggering pattern templates with explicit examples (explicit requests, proactive triggers, and edge-case scenarios) to guide activation.
  • Structured system prompts and best practices for autonomy, safety, and maintainability, aligned with CLAUDE.md standards.

Quick Start

Provide a complete agent blueprint by filling out frontmatter fields and a system prompt, then save it as agents/your-agent.md.

Frequently Asked Questions about agent-development

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

FAQPage Schema
How do I define autonomous Claude Code agent configurations for plugins?

Autonomous Claude Code agents are configured using structured frontmatter fields like name, description, model, color, tools, and mcpServers. You save this metadata alongside a system prompt as an agent file to standardize plugin discovery and invocation.

How do triggering rules work for Claude Code agent activation?

Triggering rules for Claude Code agents use explicit pattern templates to guide activation. These include explicit requests, proactive triggers, and edge-case scenarios, ensuring the agent invokes safely and accurately only when intended conditions are met.

What is the best way to structure a system prompt for an autonomous agent?

The best way to structure an autonomous agent system prompt is to follow structured best practices for autonomy and safety aligned with CLAUDE.md project standards. This ensures maintainability and consistent behavior across deployments.

Can I attach external scripts and references to support agent behavior?

Yes, you can attach optional resources such as scripts, references, and assets to support agent behavior. These resources are defined alongside the frontmatter and system prompt to provide additional context and capabilities for the autonomous agent.

Does agent development enforce validation and safety for Claude Code plugins?

Agent development enforces validation and safety by requiring precise frontmatter and strict alignment with CLAUDE.md project standards. This ensures that published agent configurations are robust, reusable, and safely deployable across different projects.

What are the limitations when configuring mcpServers in agent frontmatter?

Limitations when configuring mcpServers in agent frontmatter include ensuring strict alignment with CLAUDE.md project standards and passing enforced validation checks. You must accurately declare dependencies and tools to maintain safety and avoid deployment errors.