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skill-creator

Create modular agent skills with YAML frontmatter and progressive disclosure.

Updated Mar 2, 2026
Search Tags:#automation#packaging#skill-development#workflow-design#agent-architecture#context-optimization
One-click install
npx skills add https://github.com/myaiartist360-maker/mobot --skill skill-creator-myaiartist360-maker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/myaiartist360-maker/mobot/tree/main/mobot/skills/skill-creator
Command: npx skills add https://github.com/myaiartist360-maker/mobot --skill skill-creator-myaiartist360-maker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of creating consistent, high-quality, and reusable agent capabilities by providing a standardized framework for packaging procedural knowledge, scripts, and references.

Core Features & Use Cases

  • Standardized Skill Architecture: Enforces a uniform structure for skills using mandatory YAML frontmatter and optional resource directories.
  • Progressive Disclosure Design: Implements a three-level loading system to keep the context window lean while maintaining access to deep domain knowledge.
  • Use Case: Use this skill when you need to turn a complex, multi-step workflow—like a specialized data analysis process or a custom API integration—into a modular, distributable tool for your agent.

Quick Start

Use the skill-creator to initialize a new skill named data-processor with scripts and references support.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I package multi-step workflows into modular AI agent skills?▼

You structure modular AI agent skills by enforcing a uniform directory architecture with mandatory YAML frontmatter and optional resource folders, encapsulating procedural knowledge and scripts for consistent agent capabilities.

How does progressive disclosure optimize context window usage for agent skills?▼

Progressive disclosure in agent architecture uses a three-level loading system to keep the context window lean while maintaining on-demand access to deep domain-specific logic and procedural knowledge.

Can I integrate custom API logic and scripts into a standardized skill structure?▼

Yes, you can integrate custom API logic by placing scripts in the designated components directory and structuring domain-specific logic through the standardized skill architecture and validation workflows.

Do I need to follow a specific directory structure to create reusable agent capabilities?▼

Yes, creating reusable agent capabilities requires adherence to defined directory structures and progressive disclosure principles to ensure proper validation workflows and context optimization.

What's the best way to structure specialized procedural knowledge for AI agents?▼

The best way to structure specialized procedural knowledge is using a standardized skill architecture with YAML frontmatter, supporting progressive disclosure to optimize context window usage while maintaining deep domain knowledge.

What are the limitations of using standardized templates for agent skill development?▼

Standardized templates for agent skill development limit flexibility by enforcing strict directory structures and progressive disclosure principles, which may constrain highly unconventional workflows or non-standard tool integrations.

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