HughYau/opensci-skill

A Meta-Skill for Building Agent Skills for Scientific Python Libraries

17
/ 100
Experimental

This project helps AI Agents accurately use specialized scientific Python libraries. It takes a scientific library's documentation and code as input and automatically generates a structured 'Skill' file. This 'Skill' file contains precise, up-to-date API signatures and usage examples, enabling AI Agents to correctly interact with libraries like MNE, PyMC, or scanpy without errors caused by outdated information or general language model knowledge. Data scientists, researchers, and engineers who build AI-powered assistants for scientific tasks would use this.

Use this if you need your AI Agent to accurately and reliably interact with specific, frequently updated scientific Python libraries for tasks like data analysis, simulation, or machine learning.

Not ideal if your AI Agent only needs to use general-purpose Python libraries or if you are not building an AI Agent that requires external knowledge injection.

scientific-computing data-analysis research-automation AI-agent-development API-integration
No License No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 3 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

Python

License

Last pushed

Feb 25, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/agents/HughYau/opensci-skill"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.