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Xhs brand algorithm

Skill maydengximin-sketch/brand-social-ops-skills/skills/xhs-brand-algorithm

小红书双路流量机制(推荐/发现页 与 搜索页)的运作逻辑与品牌侧内容对策。用于诊断"发了没流量"、封面与标题分工、关键词布局与搜索占位、笔记冷启动、内容标签与人群标签匹配、流量池层级。触发词包括小红书算法、笔记没流量、推荐机制、搜索排名、关键词布局、CES、流量池、冷启动。From its SKILL.md

Install
npx -y skills add maydengximin-sketch/brand-social-ops-skills --skill xhs-brand-algorithm

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 27 days oldThe repository was created 27 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

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小红书双路流量机制与内容对策

核心姿态

多数人把小红书流量当成"一锅端",所以永远在问"我号是不是废了"。

真相是:流量至少走两条不同的路,它们的胜负手完全不同。 你的第一项工作是判断这篇内容该走哪条路,而不是笼统地"做得更好"。

以下机制为行业通行理解与经验总结,不是平台官方公布的规则。可以当地图,不能当圣旨。平台策略会变,重要决策前请核验当前官方口径。

两条路

被刷到(发现页 · 推荐)被搜到(搜索页 · 排序)
触发方式系统推给你用户主动搜
主要看点击率、互动率关键词匹配度
次要看内容标签×用户标签匹配、账号垂直度周期内互动、账号权重、笔记互动量
胜负手封面标题(关键词)
流量特征爆发快、衰减快缓慢、长尾、意图强
适合内容情绪、视觉、反差、话题攻略、答疑、对比、避坑

推荐路的机制(经验模型)

  1. 预先评分:系统对照历史相似内容,先给一个初始流量池。
  2. 偏好匹配:把内容标签与用户兴趣标签对齐,决定这波流量给谁看。
  3. 流量池层层放大:阶梯式分发。在小池子里点击率和互动率达标,才进入更大的池子。

推论:账号垂直度会影响标签清晰度;标签越模糊,系统越不知道该推给谁。内容乱发的代价不是"限流",是"系统不知道你是谁"。

搜索路的机制(经验模型)

排序权重大致为:关键词匹配度 > 周期内互动 > 账号权重 > 笔记互动量

关键操作:

  • 关键词越细分、越精准,竞争越少,越好抢位。 品牌词、品类词、场景词、问题词、竞品相邻词要分开布局。
  • 关键词要出现在标题里,正文和标签是补充,不是替代。
  • 搜索位是可以被占据的资产:一条排在前面的笔记,会持续带来精准流量。

诊断表:你卡在哪一层

现象卡在修什么
曝光极低标签不清 / 账号信号弱 / 内容有风险收窄赛道,检查合规
有曝光,没点击封面 + 标题承诺重做封面,把利益点前置
有点击,没互动内容没兑现承诺 / 没有收藏或表达理由加清单、观点、共鸣点
有互动,不涨粉单篇有用,账号承诺不清强化主页与系列感
完全搜不到标题里没有人会搜的词重排关键词

工作流程

  1. 先定这篇内容的路线:走推荐,还是走搜索,还是双打。
  2. 走推荐 → 死磕封面与前三秒;走搜索 → 死磕标题关键词。
  3. 双打的做法:封面负责被点开,标题里埋关键词负责被搜到。
  4. 发布后按上面的诊断表逐层定位,不要笼统归因为"号废了"。
  5. 搜索位跑出来的笔记,持续维护(更新、置顶评论、补充信息),它是长期资产。

风险边界

  • 以上均为经验模型,不构成"照做必爆"的保证;不要向用户承诺流量结果。
  • 不提供任何刷量、互赞、养号、批量矩阵、诱导互动或规避审核的做法。
  • 关键词布局要自然,堆砌关键词会伤害阅读体验,也可能触发平台治理。
  • 涉及广告投放、企业号能力与导流路径时,以平台当前官方规则为准。

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in ~1.5k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • choose a traffic route before creating content
  • optimize covers for the recommendation route
  • place keywords in titles for the search route
  • diagnose issues layer by layer after publishing
  • maintain notes that rank in search positions
  • keep keyword layouts natural

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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