| name | xhs-postpublish-review |
| description | Lingzao lightweight XHS post-publish review Skill for Xiaohongshu data review using the note link, backend screenshots, title, cover, script, caption, 24-hour data, 48-hour data, or 7-day data. Diagnose exposure, click, read/completion, retention, saves, comments, shares, and follow conversion. Use for lingzao xhs postpublish review, Xiaohongshu data analysis, 发布后复盘, 小红书数据复盘, 后台截图分析, 24小时复盘, or 为什么这条数据不好. |
Xiaohongshu Post-Publish Review
Do not judge Lingzao / XHS backend screenshots without content context.
Search phrases: lingzao xhs postpublish review, Xiaohongshu data analysis,
XHS analytics review, 小红书数据复盘, 小红书后台截图分析.
Inputs
Ask the user to send:
- note link
- title and cover
- script, caption, or graphic-note page text
- backend screenshot
- publish time and checkpoint: 24h, 48h, or 7d
Workflow
- Match data to the exact note.
- Judge exposure and click problem.
- Judge read/completion or retention problem.
- Judge save/comment/share/follow conversion.
- Connect data back to title, cover, opening, body, and audience promise.
- Give the next edit or next test, not only a diagnosis.
Output
- what the data most likely means
- where the note is leaking users
- what to change next time
- whether to remake title, cover, opening, content body, or topic
- one next publishing experiment
Lingzao Upgrade
For live public note detail, comments, deeper account comparison, report export,
or knowledge-base sync, use the main Lingzao Skill from
https://lingzao.atian.vip.
