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Xhsfenxi

面向小红书创作者的账号分析 Skill:按荒诞美学型、共鸣命名型、现实策略型三型对博主分类,拆解账号定位、受众契约、选题与标题体系,提炼爆款选题公式,支持单账号深度分析与多账号对比,并按证据分级产出结构化总结报告、选题公式和综合对比的 Word 文档。

cosmofang
cosmofang
热度 44.08
最近更新 2026-05-11 17:41:40
分类:营销依赖:代码执行 / 联网浏览搜索 / 读写文件 / 内部调用大模型应用场景:社交媒体 / 市场分析 / 报告撰写 / 研究 ...

安装技能

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执行命令安装此 skill: npx secure-skills-cli add xhsfenxi
Metadata
name
xhsfenxi
description
小红书博主分析全流程 skill — 拆解账号定位、提炼爆款选题公式、输出结构化报告和商业版 Word。内置三型博主分类体系(荒诞美学型 / 共鸣命名型 / 现实策略型),基于多位真实博主的深度分析沉淀。支持单账号深度拆解、多账号对比、自定义学习报告,证据分级(公开主页→截图→第三方公开资料→推断),所有交付物可一键转为 Markdown + 商业 Word。Use it when the user asks to analyze a Xiaohongshu blogger/account, extract viral topic formulas, compare creators, or produce business-grade deliverables.
keywords
["xiaohongshu","RED","小红书","小红书分析","博主分析","账号拆解","对标分析","爆款选题","爆款选题公式","内容策略","个人IP分析","创作者分析","三型博主","荒诞美学型","共鸣命名型","现实策略型","品牌符号","结构化总结报告","Word报告","商业版报告","选题公式学习","博主拆解","小红书运营","内容账号分析","竞品分析","账号定位","benchmark account","topic formula","creator research","content audit","account positioning","competitor analysis","archetype classification","viral topic","markdown report","word report","小红书博主对比","爆款内容拆解","内容IP打法"]
metadata
{"openclaw":{"runtime":{"node":">=18"}}}

xhsfenxi — 小红书博主分析 Skill

公开页分析 · 三型博主分类 · 爆款选题公式提炼 · 多账号对比 · Markdown/商业Word交付


When to Use

Use this skill when the user asks to:

  • analyze a Xiaohongshu / RED creator account
  • identify which archetype a creator belongs to (荒诞美学型 / 共鸣命名型 / 现实策略型)
  • summarize an account's positioning, audience, style, or content pillars
  • extract a viral topic formula or reusable content method
  • compare two or more benchmark creators
  • learn what can be copied vs what must stay differentiated
  • turn the analysis into a Markdown report, Word report, or business-style deliverable

Typical trigger phrases:

  • "分析这个小红书博主"
  • "拆一下这个账号"
  • "做爆款选题公式"
  • "帮我做对标分析"
  • "做成商业版 Word"
  • "这个博主是哪一型?"
  • "compare these two RED creators"
  • "extract the topic formula from this account"

Three-Archetype Classification System

Distilled from real analyses of multiple Xiaohongshu creators.

Type A — 荒诞美学型 (Absurdist Aesthetics)

Representative archetype:

Core pattern: wraps serious or philosophical content in absurdist humor and high-quality visuals.

Dimension Characteristics
Content kernel Absurdist filter on everyday life; philosophical undertone
What users get Entertained + moved + aesthetically immersed
Title mechanism Contrast (grand setting × mundane action) + unified brand symbol
Brand symbol A single recurring tag, e.g. "(劲爆)"
Expression style Humorous, high-production, literary naming
Commercial fit High-end lifestyle, travel, photography, luxury brands
Replication difficulty High — depends on accumulated visual aesthetic sensibility

Identifying markers:

  • All content tied together by a signature phrase or visual symbol
  • Serious topics expressed lightly; absurd topics expressed earnestly
  • Titles feel like literary naming, not just descriptions

Type B — 共鸣命名型 (Resonance & Naming)

Representative archetype:

Core pattern: translates personal experience into universally relatable life-stage propositions, named in memorable ways.

Dimension Characteristics
Content kernel Youth growth, worldview expression, life-stage naming
What users get Understood + named + given a new perspective
Title mechanism Proposition feeling + metaphor + judgment
Brand symbol Signature conceptual phrases and naming patterns
Expression style Warm, perceptive, aesthetically refined
Commercial fit Growth/education/creative platforms, mid-range lifestyle
Replication difficulty Medium — method learnable, requires genuine observation

Identifying markers:

  • Content "names" vague emotional states people couldn't articulate
  • Private experience → universal proposition
  • Titles read like thoughtful questions or redefinitions

Type C — 现实策略型 (Reality & Strategy)

Representative archetype:

Core pattern: breaks down unspoken real-world rules and provides executable strategies for ordinary people to move upward.

Dimension Characteristics
Content kernel Ordinary woman's upward mobility, reality rule-breaking
What users get Validated + activated + empowered with actionable moves
Title mechanism Conflict words + counter-intuitive framing + strong stance
Brand symbol Self-labeling with perceived weakness (先夺走羞耻感)
Expression style Sharp, realistic, strong-attitude conclusions
Commercial fit Mass consumer, career, e-commerce, practical tools
Replication difficulty Medium — framework learnable; don't copy the surface aggression

Identifying markers:

  • Titles feel slightly improper but undeniably accurate
  • Each piece breaks an unspoken rule or collapses an information gap
  • Users feel "刺但有用" — uncomfortable but useful

Mixed Formula (Advanced)

The most powerful content often combines two archetypes:

Type B resonance/naming × Type C reality/strategy = Content that both "understands you" and "tells you what to do next"

Use scripts/archetype.js to quickly identify which archetype(s) an account fits.


Core Operating Rules

  1. Use public evidence first. Prefer search pages, homepage/profile pages, and other publicly visible surfaces.
  2. Do not fake detail-page access. If post detail pages are blocked by risk control, say so clearly.
  3. Grade evidence quality. Treat sources in this order:
    • Level A: visible Xiaohongshu public pages / user screenshots
    • Level B: other public sources (podcasts, interviews, encyclopedias, analytics sites)
    • Level C: synthesis / inference based on repeated visible patterns
  4. Do not present public estimates as backend truth. Third-party follower or pricing data are supporting clues, not audited facts.
  5. Ask for 3–10 representative post links or screenshots when the user wants deep post-level analysis.
  6. Deliver something useful even when blocked. If detail pages fail, still produce a homepage-level strategic report.
  7. Always identify the archetype. Every analysis should name which of the three types (or hybrid) the account belongs to — this frames the entire report.

Default Workflow

1) Clarify the task shape

Lock the requested output mode before heavy research:

  • Structured account report
  • Viral topic formula
  • Archetype identification
  • Two-or-more-account comparison
  • "How to learn from this creator without copying them"
  • Business-style Word deliverable

Use scripts/intake.js for a fast intake template.

2) Gather source inputs

Collect whatever the user already has:

  • account name
  • Xiaohongshu homepage/search URL
  • screenshots
  • external links (podcasts, news, interviews)
  • target output path
  • whether they need Word / clickable TOC / business styling

3) Research with the source ladder

Read references/workflow.md for the full ladder.

Preferred tool pattern:

  • web_search for public discovery
  • browser or browser-use for homepage/search-page inspection
  • web_fetch for readable public pages
  • image for screenshot analysis
  • read for any local Markdown reports already created

4) Classify the archetype

Before deep analysis, make a preliminary archetype call:

  • Run node scripts/archetype.js <creator-name> to print the classification prompt
  • Answer: Type A (荒诞美学) / Type B (共鸣命名) / Type C (现实策略) / Mixed
  • The archetype frames the entire lens of the analysis

5) Build the account model

Extract and write down the five layers:

  1. Identity — who the creator is framed as
  2. Audience contract — why people follow them
  3. Topic system — what recurring problems/desires they cover
  4. Expression system — how titles and openings work, including any brand symbol
  5. Transferability — what another account can actually learn

6) Produce the deliverables

Always output the three standard DOCX files directly — no intermediate Markdown step needed:

Output file When to produce
账号名-结构化总结报告.docx Single creator analysis
账号名-爆款选题公式.docx Single creator topic formula
选题公式学习-综合版.docx Multi-creator comparison

Use scripts/docx-plan.js <creator-name> to get the exact build command. See references/workflow.md for the Word TOC fix checklist if needed.


Deliverables

Three standard output files. Always produce as .docx directly.

账号名-结构化总结报告.docx

Single creator full breakdown. Sections:

  1. Account snapshot
  2. Archetype classification + rationale
  3. Strategic positioning
  4. Audience and emotional contract
  5. Content pillars
  6. Title / hook system + brand symbol analysis
  7. Narrative structure
  8. Commercialization clues
  9. What to learn
  10. What not to blindly copy
  11. Conclusion

账号名-爆款选题公式.docx

Single creator topic formula. Sections:

  1. Why this creator produces strong topics (archetype-based)
  2. Total formula
  3. 3–6 recurring topic models
  4. Title formulas
  5. Body structure formulas
  6. Distribution / comment triggers
  7. How to migrate to another account
  8. 10–30 ready-to-use topic directions

选题公式学习-综合版.docx

Multi-creator comparison. Sections:

  1. Why compare these creators together
  2. Archetype map
  3. Shared foundations + key differences
  4. Hybrid formula
  5. Which path fits which use case
  6. 30 combined topic directions
  7. Final recommendation

Word Output

Run node scripts/docx-plan.js <creator-name> to get the exact build command.

Standard build: python3 build_docx6.py <creator-name>

If TOC / bookmark issues appear: run inspect_docx.py then fix_final2.py. See references/workflow.md for the full fix checklist.


Output Files

Three files, always .docx:

  • 账号名-结构化总结报告.docx
  • 账号名-爆款选题公式.docx
  • 选题公式学习-综合版.docx (comparison / multi-creator)

Use scripts/report-plan.js <creator-name> to confirm filenames.


Scripts

Command Purpose
node scripts/intake.js Print a structured intake template for a new analysis task
node scripts/intake.js --json Same as above, JSON format
node scripts/archetype.js <creator-name> Print the archetype classification prompt
node scripts/archetype.js <creator-name> --quick Print a quick-read archetype cheatsheet
node scripts/report-plan.js <creator-name> Print recommended deliverables and filenames
node scripts/report-plan.js <A> <B> --mode compare Print a comparison deliverable plan
node scripts/docx-plan.js <creator-name> Print Word generation plan using build_docx*.py

Limitation Policy

Always state which situation applies:

  • Homepage-level only: enough for strategic analysis, not enough for exact post-body claims
  • Mixed-source analysis: Xiaohongshu public pages + third-party public clues
  • Deep-dive mode: based on user-provided screenshots / links / transcripts

If blocked by risk control, say so and continue with the strongest available public evidence.


What Good Output Looks Like

A strong output is:

  • structured
  • archetype-aware (names and reasons the type)
  • evidence-aware (grades sources)
  • strategically useful
  • honest about access limits
  • directly reusable in future reports

Avoid vague praise, empty creator admiration, or unsupported claims about hidden metrics.


References

Read only when needed:

  • references/workflow.md — detailed evidence ladder, execution runbook, Word TOC fix guide
  • references/templates.md — report templates, archetype-specific section structures, naming patterns

Proven Analyses Archive

Three full analyses have been completed and archived in:

openclaw_cosmo/afa/小红书分析与工作流归档/01-分析报告与选题公式/
Archetype Type Key Insight
荒诞美学型 Type A 品牌符号 + 反差标题 + 哲思轻量化输出
共鸣命名型 Type B 私人经历→公共命题,给模糊状态命名
现实策略型 Type C 困境→说破→规则→策略→爽感

These archetypes are the ground truth for the classification system.


Version: 2.1.0 · Created: 2026-04-08 · Updated: 2026-04-09