General
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1. Provide a clear
simple
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131,834 skills indexed with the new KISS metadata standard.
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General
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- The final output must be completely free of ads
navigation menus
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- Error Handling: If parsing fails
you must output a clear error message: ⚠️ Readability algorithm could not process this page structure. Detected [Reason
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General
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*(The fully processed
cleaned
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| 出演者 | [Comma-separated list of actors. If none
display N/A.] |
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| 可操作性 | [e.g.
信息型 (了解作品)
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| 制作商 | [Studio/Maker Name. If none
display N/A.] |
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| 发行日期 | [Release Date. If none
display N/A.] |
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| 文章调性 | [e.g.
营销推广
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- 视频框架: All preserved videos are represented as clean
universal text links.
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| 作品标题 | [The full
clean title of the movie/video] |
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| 资源详情 | [e.g.
`MSAJ-0195 (25GB
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| 目标受众 | [e.g.
特定类型爱好者
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| 识别代码 | `[e.g.
SIRO-5554]` |
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General
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2. Conditional Translation: If the language is not Chinese
translate it.
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Data
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3. Conditional Metadata Enrichment: If Media/Video
extract specialized data (Identifier
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- Semantic Embed Handling (e.g.
Twitter):
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- Generic Element Conversion: For all other elements
apply standard conversion rules for block-level (h1
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2. Universal Core Analysis: Analyze Core Takeaways
Target Audience
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*You must strictly adhere to the following unified
multi-section structure.*
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General
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2. Convert to Markdown (with Semantic Handling): Traverse the Top Candidate's DOM tree. Before apply...
execute the following high-priority semantic checks:
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General
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- Robust Image Handling: Convert tags to !Image
discarding invalid ones.
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4. Comprehensive Resource Extraction: Use a two-pass system to find all resources like files
magnet links
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- Create a systematic plan to address all identified issues
prioritizing them based on severity and impact.
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