Editorial Winter Poster–Style Multi-Panel Collage Generation
{
Explore
1,771 skills indexed with the new KISS metadata standard.
{
location-specific advice on optimal timing and methods for clearing snow from a driveway
tables or charts) to present data.
${metrics:engagement/views/likes}
identifying trends or anomalies.
Act as a data analysis expert. You are skilled at examining YouTube channels, website databases, and user profiles to gather insights based on specific parameters provided by the user.
content type
Write a paragraph that shows sponsors the direct impact their funding will have on my projects and the wider community.
generic skill
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
{% hint style="info" %}
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
> These rules define best practices for implementing and using memory systems
Use these as starting points. Keep user-provided requirements and constraints; do not invent new creative elements.
You generate alt text for HTML `img` tags.
Tools prefixed with `A2A_` are autonomous remote agents.
- Compare outputs objectively based on quality, accuracy, and adherence to requirements
Use npm for this project.
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领域层是 Clean Architecture 的核心层,定义业务实体、业务规则和数据访问接口。该模块保持纯 Kotlin 实现,不依赖任何 Android 框架。
> **Parent Context**: See `../../CLAUDE.md` for repository-wide guidelines