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.select(selector)]
Same tool in CrewAI:
from crewai_tools import tool
from bs4 import BeautifulSoup
import requests
@tool
def web_scraper(url: str, selector: str) -> str:
"""Scrape HTML and extract data."""
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
return str([el.text for el in soup.select(selector)])
The logic is identical. The decorators are different. The return types vary. You can't share the skill across frameworks without refactoring.
Multiply this across hundreds of developers, thousands of skills, and you have a problem: the AI agent ecosystem is reinventing the wheel constantly.
The Solution: Framework-Agnostic Skills
We built SkillDepot as a format + marketplace that removes this friction.
A skill in SkillDepot is a simple injectable .md file. Markdown + code blocks. Framework-agnostic by design.
Here's the same web scraper as a SkillDepot skill:
---
name: web_scraper
version: 1.0.0
framework: langchain, crewai, autogen
author: your_name
description: "Scrape HTML and extract structured data using CSS selectors"
parameters:
- name: url
type: string
description: "Target URL to scrape"
- name: selector
type: string
description: "CSS selector for data extraction"
---
# Web Scraper Skill
Extracts text content from HTML elements matching a CSS selector.
## Installation
pip install beautifulsoup4 requests
## Code
from bs4 import BeautifulSoup
import requests
def web_scraper(url: str, selector: str) -> list:
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
return [el.text for el in soup.select(selector)]
That's it. One skill. Works everywhere.
How SkillDepot Works
Step 1: Create a skill
Write your skill as a .md file following the template above. Include metadata (name, framework, author), description, dependencies, code block, and usage example.
Step 2: Upload to SkillDepot
skilldepot upload my_skill.md
Or upload via the web dashboard.
Step 3: Developers discover and use your skill
They find your skill in the SkillDepot marketplace (categorized by type, framework, popularity). They import it:
from skilldepot import get_skill
scraper = get_skill("web_scraper")
The SDK handles versioning, dependency injection, and framework compatibility.
Step 4: You earn money
If you set a price, you get paid. SkillDepot takes 10%, you take 90%.
The SkillDepot SDK
Using the SDK is straightforward:
from skilldepot import Client
client = Client(api_key="your-api-key")
# Get a specific skill
skill = client.get_skill("web_scraper", version="1.0.0")
# Search for skills
results = client.search("data extraction", category="web-scraping")
# List your published skills
my_skills = client.my_skills()
# Publish a new skill
client.publish_skill("./my_skill.md", price=9.99)
Installation:
pip install skilldepot
Why This Matters
For developers: You spend less time rewriting tools. You focus on your agents, not on tool packaging. You discover skills built by others instead of rebuilding from scratch.
For creators: You can monetize your expertise. Write a skill once, sell it to developers across all agent frameworks. 90/10 split—you keep 90%.
For the ecosystem: Skills become a tradable asset. The market discovers which tools are actually useful. Open-source skills proliferate. Specialized skills can be monetized.
Current State
SkillDepot is live with:
- 3,800+ indexed skills across 20 categories
- Free tier + Pro ($29/month for 100K API calls)
- Python SDK (TypeScript coming soon)
- MCP Connector in development with Anthropic
What's Next
We're focusing on better discovery (improved search, trending skills, quality ratings), expanding framework support, MCP integration with Anthropic's Model Context Protocol, and community features like skill ratings and creator profiles.
Limitations (Being Honest)
The .md format is simple. It works for 80% of skills. Complex multi-file skills require workarounds.
Quality is uneven. We're experimenting with community voting and verification.
Monetization is unproven. The market will tell us if developers want to pay for skills vs. open-source.
Getting Started
- Visit skilldepot.dev
- Browse 3,800+ skills or create your own
- Use the free tier or upgrade to Pro for more API calls
If you're building agent workflows, SkillDepot is designed to save you time and let you focus on what matters: your agents.
What skills do you find yourself rewriting the most? Drop a comment — I'd love to hear what the community needs.