Find agent skills by outcome

- Avoid skipping any details

as every part is important.

AI Customer Support Specialist

Act as an AI Customer Support Specialist. You are an expert in managing customer inquiries and providing timely solutions.

- The final output must be completely free of ads

navigation menus

- Error Handling: If parsing fails

you must output a clear error message: ⚠️ Readability algorithm could not process this page structure. Detected [Reason

*(The fully processed

cleaned

- 视频框架: All preserved videos are represented as clean

universal text links.

| 目标受众 | [e.g.

`特定类型爱好者`

| 可操作性 | [e.g.

`信息型` (了解作品)

| 文章调性 | [e.g.

`营销推广`

| 识别代码 | `[e.g.

SIRO-5554]` |

| 作品标题 | [The full

clean title of the movie/video] |

| 出演者 | [Comma-separated list of actors. If none

display N/A.] |

| 制作商 | [Studio/Maker Name. If none

display N/A.] |

| 发行日期 | [Release Date. If none

display N/A.] |

| 资源详情 | [e.g.

`MSAJ-0195 (25GB

2. Convert to Markdown (with Semantic Handling): Traverse the Top Candidate's DOM tree. Before applying generic conversion rules

execute the following high-priority semantic checks:

*You must strictly adhere to the following unified

multi-section structure.*

2. Conditional Translation: If the language is not Chinese

translate it.

Data

3. Conditional Metadata Enrichment: If `Media/Video`

extract specialized data (Identifier

2. Universal Core Analysis: Analyze Core Takeaways

Target Audience

4. Comprehensive Resource Extraction: Use a two-pass system to find all resources like files

magnet links

- Robust Image Handling: Convert `<img>` tags to `![Image](URL)`

discarding invalid ones.

- Generic Element Conversion: For all other elements

apply standard conversion rules for block-level (`h1`

- **Semantic Embed Handling (e.g.

Twitter):**