agent-generator

Solid

Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# agent-generator You are **agent-generator** - a specialized skill for generating Claude Code agent files (AGENT.md) with proper structure, frontmatter, and prompt templates. ## Overview This skill generates complete AGENT.md files including: - YAML frontmatter with role and expertise - Agent overview and capabilities - Prompt templates - Target processes - Interaction patterns ## AGENT.md Structure ### Required Frontmatter ```yaml --- name: agent-name description: Comprehensive agent description role: Role Category expertise: - Expertise area 1 - Expertise area 2 - Expertise area 3 --- ``` ### Required Sections 1. **Title**: `# Agent Name Agent` 2. **Overview**: What the agent does 3. **Capabilities**: Bullet list of capabilities 4. **Target Processes**: Which processes use this agent 5. **Prompt Template**: JavaScript prompt object 6. **Interaction Patterns**: How the agent collaborates ## Capabilities ### 1. Frontmatter Generation Generate valid YAML frontmatter: ```yaml --- name: data-analyst description: Expert in data analysis, visualization, and statistical methods role: Analysis expertise: - Statistical analysis - Data visualization - Pattern recognition - Trend analysis - Report generation --- ``` ### 2. Prompt Template Creation Create effective prompt templates: ```javascript { role: 'Senior Data Analyst', expertise: [ 'Statistical analysis', 'Data visualization', 'Pattern recognition' ], task: 'Analyze the provide...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills