ai

Select and execute project agent skills from a centralized .ai/skills store.

Updated Apr 12, 2025

Search Tags:#workflow #scaffolding #ai #skill-discovery #module-generation #centralized-store #ide-consistency

Ready to run

npx skills add https://github.com/DavidKk/vercel-openapi --skill ai-davidkk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai
Source: https://github.com/DavidKk/vercel-openapi/tree/main/.cursor/skills/ai
Command: npx skills add https://github.com/DavidKk/vercel-openapi --skill ai-davidkk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralize and standardize project agent skills by hosting all SKILL definitions under .ai/skills, ensuring IDEs and tools reference a single source of truth.

Core Features & Use Cases

Centralized skill definitions in .ai/skills and a single source of truth for consistent execution across tools.
Read-and-apply semantics: when you ask to add a module or scaffold code, the AI selects the appropriate skill from the canonical store and runs it.
Use cases include adding new modules, scaffolding codebases, or executing predefined workflows that rely on skills defined under .ai/skills.

Quick Start

Use the AI to apply the appropriate skill from .ai/skills to generate or scaffold a module.

Frequently Asked Questions about ai

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

FAQPage Schema

How do I centralize project agent skills for consistent IDE execution?▼

Centralize project agent skills by hosting all SKILL definitions under the .ai/skills directory, which ensures IDEs and tools reference a single source of truth for consistent execution. This standardizes skill definitions across your project environment.

What is the best way to scaffold code using a centralized skill store?▼

Scaffold code by asking the AI to apply the appropriate skill from the .ai/skills store. The AI automatically selects and executes the matching skill to generate or scaffold code modules, enforcing a single source of truth for skill definitions.

How does automated skill selection work for module generation?▼

Automated skill selection works through read-and-apply semantics: when you request to add a module, the AI reads the canonical SKILL.md file from the centralized .ai/skills store and runs the corresponding workflow to generate the code.

Do I need a specific directory structure to use centralized skill definitions?▼

Yes, you need a .ai/skills directory structure to host the canonical SKILL.md files. This directory acts as the centralized store that IDEs and tools reference to maintain a single source of truth for project agent skills.

Can I run predefined workflows that rely on skills defined under .ai/skills?▼

Yes, you can run predefined workflows that rely on skills defined under .ai/skills. The AI applies the appropriate skill from the canonical store to execute the workflow, ensuring all tools reference the same standardized skill definitions.

Why does my IDE reference inconsistent skill definitions across different tools?▼

IDEs reference inconsistent skill definitions when they are not centralized. By hosting all SKILL.md definitions under a single .ai/skills directory, you enforce a single source of truth, ensuring IDEs and tools reference the canonical skill definitions consistently.