Skills

A collection of AI skills for coding assistants. Each skill provides contextual documentation and reference material to help AI assistants work with specific tools, libraries, and platforms.

Available Skills

Databuddy Skills

Skill	Description
databuddy	Main overview - Privacy-first analytics SDK and REST API integration
databuddy-core	Core browser-side tracking utilities and types
databuddy-react	React/Next.js component and hooks for analytics
databuddy-node	Server-side tracking with batching and middleware
databuddy-flags	Feature flags for React, Node.js, and Vue
databuddy-ai-vercel	LLM observability for Vercel AI SDK
databuddy-api	REST API for querying analytics data

Structure

Each skill is a folder containing a SKILL.md file:

skills/
├── databuddy/
│   ├── SKILL.md                    # Main overview
│   ├── databuddy-core/
│   │   └── SKILL.md
│   ├── databuddy-react/
│   │   └── SKILL.md
│   ├── databuddy-node/
│   │   └── SKILL.md
│   ├── databuddy-flags/
│   │   └── SKILL.md
│   ├── databuddy-ai-vercel/
│   │   └── SKILL.md
│   └── databuddy-api/
│       └── SKILL.md
└── README.md

SKILL.md Format

The SKILL.md file contains YAML frontmatter with metadata:

---
name: skill-name
description: Brief description of when to use this skill
metadata:
  author: author-name
  version: "1.0"
---

Usage

These skills are designed to be consumed by AI coding assistants to provide accurate, up-to-date guidance when working with specific technologies.

Adding a New Skill

1. Create a new directory under the root with your skill name
2. Add a SKILL.md file with the required frontmatter and comprehensive documentation
3. Include quick start examples, configuration options, and common patterns
4. Reference external documentation when available