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A simple standardized way of providing and discovering downloadable skills that teach LLMs how to interact with a site.

2 starsPython

New idea for automatically teaching your agent new skills

by MattGrommes·Mar 17, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainZero to OneBold Bet

Decentralized skill discovery protocol for agents, like robots.txt for LLM actions.

Strengths
  • Proposes a simple HTTP standard for agents to discover site capabilities dynamically.
  • Avoids central registries by letting sites host their own skill definitions.
Weaknesses
  • Very early stage with minimal implementation beyond a sample server.
  • Competes with established MCP and Action Server standards.
Target Audience

LLM agent developers, website owners

Similar To

Model Context Protocol · OpenAPI · A2A Protocol

Post Description

Hi everybody. I came up with something I think is new and could be helpful around LLM agent skills.

The project is called Skillstore: https://github.com/mattgrommes/skillstore

It's an idea for a standardized way of getting skills and providing skills to operate on websites.

There's a core Skillstore skill that teaches your agent to access a /skillstore API endpoint provided by a website. This endpoint gives your agent a list of skills which it can then download to do tasks on the site. The example skills call an API but also provide contact info or anything you can think of that you want to show an agent how to do.

There are more details and a small example endpoint that just shows the responses in the repo.

Like I said, it's a new idea and something that I think could be useful. My test cases have made me very excited and I'm going to be building it into websites I build from here on. It definitely needs more thinking about though and more use cases to play with. I'd love to hear what you think.

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