skill-creator

Initialize and validate modular AI skill structures with standardized templates.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/smrik/ai-fund --skill skill-creator-smrik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/smrik/ai-fund/tree/main/skills/financial-analysis/skills/skill-creator
Command: npx skills add https://github.com/smrik/ai-fund --skill skill-creator-smrik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the challenge of creating consistent, high-quality, and modular AI capabilities by providing a standardized framework for packaging specialized knowledge, workflows, and tools.

Core Features & Use Cases

  • Standardized Initialization: Automatically generates the required directory structure and templates for new skills.
  • Progressive Disclosure Design: Implements a three-level loading system (metadata, body, resources) to optimize context window usage.
  • Validation & Packaging: Includes built-in tools to validate skill structure and package them into distributable formats.
  • Use Case: Use this skill when you need to build a new domain-specific agent capability, such as a financial analysis tool or a document processing workflow, ensuring it follows best practices for reliability and performance.

Quick Start

Use the skill-creator to initialize a new skill named financial-analyzer in the skills directory.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I standardize AI agent packaging for modular capabilities?▼

Standardize AI agent packaging by initializing a modular skill unit with automated directory structures and templates, ensuring consistent development workflows and context-efficient tool integration for domain-specific agents.

What is the three-level loading system for context window optimization?▼

The three-level loading system is a progressive disclosure design that sequentially loads metadata, body, and resources, optimizing context window usage by preventing unnecessary data from overwhelming the AI agent.

How to create a domain-specific agent capability from a template?▼

Create a domain-specific agent capability by running the standardized initialization workflow to generate required directory structures, scripts, reference documentation, and asset bundles automatically.

Does the skill packaging workflow require pyyaml?▼

Yes, the skill packaging and validation workflow requires the pyyaml dependency to manage configuration files and ensure architectural compliance during the initialization of automated workflows.

Can I validate the directory structure of an automated workflow before deployment?▼

Yes, you can validate the directory structure using built-in validation tools that check for architectural compliance, ensuring the modular skill unit meets requirements for reliable deployment and context-efficient integration.

Best way to package specialized knowledge into a distributable format?▼

Package specialized knowledge by bundling scripts, reference documentation, and assets into a distributable format using the built-in validation and packaging tools, ensuring the modular unit follows best practices.