Generates topic files from course materials using JSON config and Python scripts.
npx skills add https://github.com/zhyg/ai-data-eng-guide --skill gen-topic
Please help me install this Agent Skill. Skill: gen-topic Source: https://github.com/zhyg/ai-data-eng-guide/tree/main/.cursor/skills/gen-topic Command: npx skills add https://github.com/zhyg/ai-data-eng-guide --skill gen-topic
This Skill automates the process of generating topic files from course materials, reducing manual effort and streamlining the organization of course content.
Generate the topic files for a specific week using the command: gen-topic --week weekX.
High-intent search queries and answers about installing and using this skill.
Automating course material organization into markdown files is achieved by parsing JSON class info and fetching article subtitles to structure PDFs into organized topic files. This workflow streamlines lecture material preparation and educational content structuring.
Generating topic files for a specific week of course content is done by executing the command `gen-topic --week weekX`. This automatically creates an index.txt and organizes the corresponding materials into structured markdown files for that week.
Yes, fetching article subtitles and retrieving course data requires specific Python scripts and a config.json file. The config.json provides necessary authentication, while the scripts handle data retrieval and automated topic generation for the educational materials.
Automated topic generation is suitable for educational content preparation and large-scale lecture material structuring. It efficiently parses JSON class info and organizes PDFs into markdown files, reducing the manual effort required for extensive course content organization.
Fetching article subtitles is required during PDF processing to accurately map and organize the course materials into structured markdown files. This step ensures the generated topic files correctly reflect the educational content hierarchy and lecture structure.
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