Extract and organize library API signatures and documentation into structured knowledge files.
npx skills add https://github.com/HughYau/opensci-skill --skill opensci-skill
Please help me install this Agent Skill. Skill: opensci-skill Source: https://github.com/HughYau/opensci-skill/tree/main Command: npx skills add https://github.com/HughYau/opensci-skill --skill opensci-skill
This Skill facilitates the creation of structured, high-density knowledge files for scientific Python libraries, enabling precise and reliable tool usage by AI agents.
SKILL.md for any scientific library to improve tool invocation accuracy in an intelligent assistant environment.Use the open data science skill to generate a knowledge base for the scipy library, including signatures and documentation summaries.
High-intent search queries and answers about installing and using this skill.
To extract Python library API signatures, this Skill automates source code parsing and documentation scraping to generate structured, versioned knowledge files. It organizes complex library structures into reference markdown.
Generating a structured knowledge base for scientific computing libraries is achieved by crawling official documentation and indexing symbols. This process creates high-density reference files to improve tool invocation accuracy.
Yes, you can organize complex library knowledge into structured reference files and markdown navigation. It extracts modules and APIs to ensure comprehensive coverage for AI agent consumption.
This approach works with scientific Python libraries that have parseable source code and official documentation. It relies on scraping documentation and extracting signatures to build accurate symbol indexes.
You need versioned knowledge files to ensure precise and reliable tool usage by AI agents. Accurate function signatures and module structures prevent invocation errors when agents interact with complex scientific libraries.
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