# Xhs Postpublish Review

> 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.

- Skill: `atian-create/xhs-postpublish-review` (Agent Skill)
- Install (CLI): `npx skillmds@latest add atian-create/xhs-postpublish-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/atian-create/xhs-postpublish-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: atian-create (https://skillmd.com/u/atian-create)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/atian-create/xhs-postpublish-review

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# 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

1. Match data to the exact note.
2. Judge exposure and click problem.
3. Judge read/completion or retention problem.
4. Judge save/comment/share/follow conversion.
5. Connect data back to title, cover, opening, body, and audience promise.
6. 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.