# BAAI DisCo Framework Converts GitHub Repos Into Reusable AI Agent Skills

> Researchers at the Beijing Academy of Artificial Intelligence have built DisCo, a framework that automatically mines existing GitHub repositories and converts them into reusable skills that AI agents can call on. In their run, it turned more than 1,000 repositories into roughly 5,000 machine learning skills at a cost of about $40 per repo. The results are striking. On their benchmark, a Codex-based agent's success rate jumped from 31.1% to 72.9% once it could draw on the extracted skills, more than doubling its performance. The idea is that agents should not reinvent solutions that already exist in open-source code, they should learn to reach for them. It is an early but concrete take on a big open problem: how to give AI agents durable, composable capabilities instead of making them solve every task from scratch. If skill libraries like this scale, the value shifts from raw model smarts toward how well an agent can borrow the world's existing code.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: AI Weekly · Published Saturday, September 5, 2026_

## Wortins' read

Researchers at the Beijing Academy of Artificial Intelligence have built DisCo, a framework that automatically mines existing GitHub repositories and converts them into reusable skills that AI agents can call on. In their run, it turned more than 1,000 repositories into roughly 5,000 machine learning skills at a cost of about $40 per repo. The results are striking. On their benchmark, a Codex-based agent's success rate jumped from 31.1% to 72.9% once it could draw on the extracted skills, more than doubling its performance. The idea is that agents should not reinvent solutions that already exist in open-source code, they should learn to reach for them. It is an early but concrete take on a big open problem: how to give AI agents durable, composable capabilities instead of making them solve every task from scratch. If skill libraries like this scale, the value shifts from raw model smarts toward how well an agent can borrow the world's existing code.

## Source

[Read the full story at AI Weekly](https://aiweekly.co/ai-news-today/edition/2026-09-04)

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