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.