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One person turned Liu Yao into a reusable AI Skill that works with multiple tools and can be monetized through paid rule libraries or custom services.

Turning traditional cultural knowledge into AI tools is challenging because the rules cannot be arbitrarily altered by models. One person organized two sets of Liu Yao methods into installable Skills, incorporating 23 rule documents and a charting module, allowing a single file to work across multiple AI tools. Commenters asked follow-up questions.

Sharer: Link2026.10.17
Summary

Review the results before exploring further

Turning traditional cultural knowledge into AI tools is challenging because the rules cannot be arbitrarily altered by models. One person organized two sets of Liu Yao methods into installable Skills, incorporating 23 rule documents and a charting module, allowing a single file to work across multiple AI tools. Commenters asked about differences from older versions and wanted to discuss development. Options include creating vertical knowledge Skills, selling paid rule libraries, or offering custom services.

Our Take

Three things to consider about this case

Why it matters
First, agree on a specific requirement and acceptance criteria, and record the delivery and maintenance effort involved.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Teachers and office workers
What to try first
Pick a recurring small task and verify the workflow using a document first.
What to measure
Verify the output content and format, and record the steps actually saved.
Try Document Format Conversion ↗

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
Still deciding? Read our decision guides
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