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Agent Development

Design structured agent configurations for Claude Code plugins.

1|Updated Jan 17, 2026
Search Tags:#documentation#validation#claude-code#frontmatter#system-prompts#agent-templates
One-click install
npx skills add https://github.com/kurokeita/ai-agent --skill agent-development-kurokeita
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Agent Development
Source: https://github.com/kurokeita/ai-agent/tree/main/skills/agent-identifier
Command: npx skills add https://github.com/kurokeita/ai-agent --skill agent-development-kurokeita

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Agent Development Skill provides a structured, repeatable approach to designing, documenting, and validating autonomous agents for Claude Code plugins. It ensures consistency across frontmatter, system prompts, and triggering examples so teams can create robust, reusable agents with minimal friction.

Core Features & Use Cases

  • Clear frontmatter blueprint: name, description, model, color, and optional fields to standardize agent definitions.
  • Proactive and reactive triggering: examples show when to activate based on user intent or project context.
  • Comprehensive system prompts: templates for responsibilities, process steps, edge cases, and output formats.
  • Validation guidance: steps and criteria to verify agent configuration and performance.
  • Reference patterns: aligns with internal references and style guides for CLAUDE.md.

Quick Start

  1. Start with describing the agent you want to create, including its trigger conditions and expected behavior.
  2. Use the provided templates to generate the JSON configuration and then convert it into an agent markdown file under agents/.
  3. Validate the generated agent with the included scripts, then test triggering scenarios.

Frequently Asked Questions about Agent Development

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

FAQPage Schema
How do I create structured agent configurations for Claude Code plugins?▼

To create agent configurations for Claude Code plugins, use a structured blueprint defining frontmatter fields like name, description, model, and color, alongside system prompts and triggering examples for consistent agent behavior.

What is the best way to document and validate autonomous agents for Claude Code?▼

Documenting and validating autonomous agents involves applying standardized frontmatter, defining proactive and reactive triggers, and running validation scripts to verify agent configuration and performance against established rules.

How does frontmatter standardization work for Claude Code agent templates?▼

Frontmatter standardization enforces required fields such as name, description, model, and color, alongside optional components, ensuring agents are safely defined and reusable across different project contexts.

Do I need specific trigger conditions to activate Claude Code plugin agents?▼

Yes, Claude Code plugin agents require defined proactive and reactive triggering examples that specify when to activate based on user intent or project context, ensuring precise execution of system prompts.

Can I enforce toxicity checks and validation rules when building agent templates?▼

Toxicity checks and validation rules are enforced during agent configuration by applying standardized criteria and running validation scripts to ensure generated agents are safe and perform correctly.

Why does my generated Claude Code agent fail validation?▼

Agent validation fails when the generated configuration misses required frontmatter fields, lacks clear triggering examples, or contains content that does not pass included toxicity checks and validation rules.

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