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whinc AI Skills

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Browse published AI skills maintained by whinc. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

24

Repository forks

0

Average repository stars per indexed skill

4

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

advanced-formily-patterns

whinc

This skill should be used when the user asks to "implement dynamic forms", "formily complex forms", "formily conditional fields", "formily nested forms", "formily async validation", "formily performance optimiz...

GitHub

ahooks

whinc

Comprehensive ahooks React hooks library specialist. Expert in all 76+ ahooks hooks including state management, effects, data fetching, performance optimization, DOM utilities, and advanced patterns. Use when w...

GitHub

formily-core-fundamentals

whinc

This skill should be used when the user asks to "learn formily basics", "setup formily", "formily core concepts", "formily getting started", "formily fundamentals", "how to use formily", "formily installation",...

GitHub

taro-documentation

whinc

This skill should be used when the user mentions "Taro" in any technical context, asks about "Taro API", "Taro components", "Taro configuration", "Taro development", "Taro project", "mini program with Taro", "W...

GitHub

formily-ant-design-components

whinc

This skill should be used when the user asks to "use formily with ant design", "formily antd components", "formily ant design integration", "formily form layout", "formily form.item", "formily antd forms", or "...

GitHub

formily-migration-guide

whinc

This skill should be used when the user asks to "convert to formily", "formily migration", "migrate forms to formily", "convert react forms to formily", "formily vs other form libraries", or "replace existing f...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.