Building the App Store for AI Agent Skills

The AI agent ecosystem is fragmenting. LangChain, CrewAI, AutoGen, Claude SDK—each one implements agents differently. And each one forces you to rewrite your tools (skills) in their own format. You write a web scraper for LangChain. It's great. Then your team wants to use it in a CrewAI agent. You rewrite it. Three months later, someone asks for the same scraper in AutoGen. You rewrite it again. This inefficiency sparked an idea: what if there was an open marketplace for agent skills that worked across frameworks? That's SkillDepot. It's not a framework. It's a distribution layer for reusable AI capabilities. The Problem: Framework Fragmentation Let's be concrete. Here's a web scraper tool in LangChain: from langchain.tools import tool from bs4 import BeautifulSoup import requests @tool def web_scraper(url: str, selector: str) -> list: """Scrape HTML and extract data.""" response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') return [el.text for el in soup