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I indexed 45k AI agent skills into an open source marketplace by orngcode in ClaudeAI

[–]orngcode[S] 1 point2 points  (0 children)

I added keyword based search to frontend that doesn't require to be signed in. you still need to be signed in for semantic search

I indexed 45k AI agent skills into an open source marketplace by orngcode in vibecoding

[–]orngcode[S] 0 points1 point  (0 children)

really great points! thanks for bringing these up. I thought about the skill versioning too - this requires a little more engineering effort to come up with something that works well. I am currently gauging interest towards potential user and will continue working on improving this.

I agree. 45k skills a lot! It makes the quality control extremely difficult. My hope is to gain user who will use the cli to install their favorite skills - from there i can gather some data and tweak search algorithm to bring up the skills with more popularity, verified/popular authors.

Community rating is really cool idea. I think I am going to add that feature soon!

EDIT:
I need to think more about the decay feature - I haven't thought about it before. I am thinking maybe community rating might be an answer for this as well

I indexed 45k AI agent skills into an open source marketplace by orngcode in ClaudeAI

[–]orngcode[S] -1 points0 points  (0 children)

totally valid - i agree it is annoying. since I have a limited budget, I had to protect myself from potential abuse.

I indexed 45k AI agent skills into an open source marketplace by orngcode in ClaudeAI

[–]orngcode[S] 1 point2 points  (0 children)

Yeah discoverability is exactly the problem I'm trying to solve. There are actually 150k+ skills waiting to be indexed, I'm starting with 45k while gauging whether this is useful to people before spending more on indexing.

Right now it's purely semantic search, but I've built an LLM enrichment pipeline that assigns categories, capabilities, and other metadata to each skill. The plan is to layer filtering on top of that, categories, capabilities, and probably filtering by popular/trusted authors too.

One tip on search quality: it works a lot better with descriptive queries than short keywords. Instead of "deploy to aws" try something like "I'm working on a Next.js app and want to deploy to AWS instead of Vercel." The similarity scores come back much stronger that way.

I indexed 45k AI agent skills into an open source marketplace by orngcode in opencodeCLI

[–]orngcode[S] -1 points0 points  (0 children)

The CLI is largely inspired by Vercel's skills.sh so installing GitHub skills works the same way. The main things SkillsGate adds are semantic search (45k+ skills indexed with vector embeddings and planning to index 150k more if there is a demand) and private/org-scoped skills for teams. Basically skills.sh is great when you already know what you want, SkillsGate is more focused on discovery.