Wb Xhs Schedule Review

Community

wenziai

wb-xhs-schedule-review

Use when the user wants a Xiaohongshu posting calendar, weekly review board, first-10-post launch plan, 10-20-post positioning test, or data-based next-step plan. Trigger phrases: "排期", "复盘", "30 天计划", "前10条", "10-20条测试", "发了没数据", "weekly review", "content calendar", "XHS schedule". Do not use for first-draft editing or initial account positioning.

Overview

Publisher	wenziai
Repository	`wenzi-xiaohongshu-workflow`
Skill name	`wb-xhs-schedule-review`
Stars	178
Forks	34
Bundled files	1
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by wenziai on GitHub. Read the source before you install it.

Installation

Install the Wb Xhs Schedule Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/wenziai/wenzi-xiaohongshu-workflow/tree/main/wb-xhs-schedule-review
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/wenziai/wenzi-xiaohongshu-workflow.git /tmp/wenzi-xiaohongshu-workflow
mkdir -p .claude/skills
cp -r /tmp/wenzi-xiaohongshu-workflow/wb-xhs-schedule-review .claude/skills/wb-xhs-schedule-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wb Xhs Schedule Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wb Xhs Schedule Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wb Xhs Schedule Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

小红书排期与周复盘闭环

R — 原文

"排期 + 复盘，让它帮你记。"

— 文子, X Article, 2026-07-06

"小红书前10条 = 系统画像建立期。"

— yanliudreamer, X Article, 2026-06-29

I — 方法论骨架

小红书冷启动不是单篇内容问题，而是连续发布和反馈问题。排期解决“今天发什么、什么时候发、发哪类”；复盘解决“数据说明了什么、下一周怎么改”。

文章建议把新号分成阶段：先让账号行为自然，再让平台识别标签，再逐渐稳定内容和商业转化。每周记录曝光、点击、点赞、收藏、评论、分享、涨粉等指标，并让 WorkBuddy 把结论写回记忆。

yanliudreamer 系列补充了冷启动实验节奏：前 10 条是系统画像建立期，建议组合自我背景/经历、方法/经验、踩坑/反思、情绪/观点；定位不要只靠想，而要用 10-20 条内容验证。复盘时不要只问“爆没爆”，而要判断系统是否认识你、哪类内容更容易被推荐、哪类内容更容易被互动和关注。

排期和复盘合在一起，才能把内容系统从灵感驱动变成数据驱动。

dbskill 的保存/恢复/报告思路可以转译成小红书运营记忆：每周不只产出排期，还要把“验证过的内容类型、禁用表达、评论区需求、下周实验假设”写回账号档案。这样下一轮不是重新开始，而是在上一轮证据上继续迭代。

xhs-visual-director-skill 补充了图文生产节奏：排期不只安排发什么，还要安排哪条做单图、哪条做 6-8 页图文、哪天出视觉确认图、哪天批量出最终图、哪周复盘封面点击和内页收藏。

A1 — 文章中的应用

案例 1: 30 天三阶段排期

问题: 新手日更最大障碍不是没内容，而是不知道节奏。
方法论的使用: 作者建议让 WorkBuddy 生成 30 天阶段计划和每周数据看板。
结论: 发布前能知道当天任务，发布后能知道下周调整。
结果: 选题库、数据和记忆文件形成闭环。

A2 — 触发场景

用户会在什么情境下需要这个 skill?

用户有选题库，但不知道如何排一周或一个月。
用户发了几篇后不知道数据该怎么解释。
用户想从冷启动进入稳定更新。
用户想让 WorkBuddy 记住每周复盘规律。
用户刚开号，想设计前 10 条内容。
用户发了 10-20 条，想根据数据收敛定位。

语言信号

"帮我做排期"
"发了几篇没数据怎么办"
"做个复盘表"
"30 day XHS plan"
"前10条怎么发"
"10-20条后怎么复盘"
"weekly content review"

与相邻 skill 的区分

与 wb-xhs-topic-bank 的区别: 选题库负责产生候选内容，本 skill 负责安排节奏和复盘数据。
与 wb-xhs-humanize-compliance 的区别: 去 AI 味处理单篇发布质量，本 skill 处理多篇内容的周期表现。

E — 可执行步骤

确定阶段
- 判断账号处于画像建立、方向测试、标签识别、内容放大、稳定转化中的哪一阶段。
- 完成标准: 每个阶段有不同发布目标。
设计前 10 条画像内容
- 新号优先安排 3 条自我背景/经历、3 条方法/经验、2 条踩坑/反思、2 条情绪/观点。
- 完成标准: 系统和用户都能看见一个“完整的人”，而不是单一教程机器。
生成排期表
- 按周安排内容类型、发布时间、标题方向、制作任务。
- 完成标准: 至少给出 7 天计划；需要时扩展到 30 天。
安排图文制作任务
- 为每条内容标注发布形态: 单图、6-8 页图文、长文、案例拆解、工具清单；需要图片时安排 10 问澄清、视觉母版、视觉确认图、最终图和审查时间。
- 完成标准: 排期包含内容生产和视觉生产，不只包含发布日期。
建立数据看板
- 记录曝光、点击率、停留、点赞、收藏、评论、分享、关注、私信、发布时间、内容类型。
- 完成标准: 用户能每周填表。
补充视觉数据字段
- 记录封面风格、标题字数、主视觉类型、页数、是否有统一母版、收藏率、评论主题和用户截图反馈。
- 完成标准: 能判断问题出在选题、封面、内页信息密度还是账号定位。
10-20 条后收敛定位
- 比较不同主题在点击、停留、互动、关注上的差异，判断主方向和备选方向。
- 完成标准: 不是凭感觉定位，而是用一轮实验数据收敛。
复盘并回写记忆
- 判断最佳类型、最佳时间、失败原因、评论区新选题、爆款后是否应顺着方向继续发。
- 完成标准: 输出下周 3-5 个具体调整动作，并建议写入账号档案。
生成周度运营报告
- 汇总本周有效假设、失效假设、最强标题触发器、最强内容机制、最值得继续测试的 3 个方向。
- 完成标准: 报告能直接更新账号档案、选题库和下周排期。

B — 边界

不要在以下情况使用

用户只有一个初稿要改，应使用去 AI 味 skill。
用户没有任何选题或定位，应先补前置 skill。

失败模式

排期过满，导致新手无法执行。
只看点赞，不看收藏、评论、点击和涨粉关系。
复盘只写感受，没有转成下周动作。
发了 3 篇没起色就放弃，样本太少无法判断方向。
一篇爆了就突然乱发，打断系统对账号的归类。
每周复盘只留在聊天记录里，没有写回账号档案或下周实验。
排期只写发布时间，不预留封面、图文拆页、视觉确认和审查时间。
复盘只看选题，不记录封面风格、页数、信息密度和收藏反馈。

作者盲点

文章建议的阶段节奏不一定适合所有赛道。
小样本数据波动大，不能过早得出确定结论。

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: prompts prepared
蒸馏时间: 2026-07-07

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json4 KB

Frequently asked questions

What does the Wb Xhs Schedule Review AI skill do?

Why use Wb Xhs Schedule Review on TypingMind?

Because you install it once and use it with any model. Wb Xhs Schedule Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wb Xhs Schedule Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wenziai/wenzi-xiaohongshu-workflow/tree/main/wb-xhs-schedule-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wb Xhs Schedule Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wb Xhs Schedule Review?

As many as you like. As long as a model supports skills, you can use Wb Xhs Schedule Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wb Xhs Schedule Review AI skill free?

It is published on GitHub by wenziai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Wb Xhs Schedule Review

Overview