zhihu-hot-article-engine

SKILL内容创作
内容创作 未标注权限 许可证不明确
安装这个技能

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一句话选型结论

按资料字段整理

zhihu-hot-article-engine是内容创作类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类内容创作 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_ba91d4a0/zhihu-hotarticle-engine
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

内容创作
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_ba91d4a0仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791675105
正文体量12.1 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在内容创作场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
zhihu-hot-article-engine当前 未标注权限 未标注 未标注 未标注 有
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

12.1 KB
模型实际读到的说明书原文,来自技能仓库

Zhihu Hot Article Engine

Write Zhihu articles that rank on the hot list and earn genuine upvotes.

When to use

  • Writing a comprehensive Zhihu answer that needs to stand out among hundreds
  • Creating a long-form Zhihu article (专栏文章) targeting a trending topic
  • Analyzing a Zhihu question to determine whether it's worth answering
  • Optimizing an existing answer that isn't getting traction
  • Writing a hot-list strategy: timing, keyword density, and engagement baiting (legitimate)

Core Principles

1. Zhihu Writing is Different

Zhihu is NOT a blog, NOT a social media post. It's a credibility-first knowledge platform:

Aspect Blog Twitter Zhihu
Reader mindset Skimming for info Scanning for entertainment Seeking authoritative, structured answers
Required depth Medium Very low Very high
Personal story Optional Common Structure anchor
Data/citations Nice to have Never Essential
Update cycle Once Once Living document (edit/sticky)
Length sweet spot 1500-2500 words 280 chars 3000-8000+ words
Credibility signal Domain Followers Credentials + data + experience

2. The Zhihu Algorithm

Zhihu's recommendation system ranks answers based on these factors (ordered by importance):

  1. Upvote count + velocity — fast early upvotes = massive amplification
  2. Answer length — longer answers (>3000 chars) consistently rank better
  3. Creator credibility — verified credentials, past high-quality answers
  4. Dwell time — how long readers stay on your answer (scroll depth)
  5. Engagement — comments, collections, shares (collections = strong signal)
  6. Relevance — how well your answer matches the question's topic cluster
  7. Freshness — new answers get a temporary boost for first 48 hours

Key insight: The first 2 hours determine whether your answer goes viral or dies.

3. The Zhihu Format (Structural Canon)

Every great Zhihu answer follows this structural pattern:

╔══════════════════════════════════════╗
║  HEADER                              ║
║  ┌──────────────────────────────────┐║
║  │ 谢邀 / 谢不邀                     │║  ← Credibility signal
║  │ [Credentials: 10年从业经验/PhD]  │║  ← Authority anchor
║  └──────────────────────────────────┘║
╠══════════════════════════════════════╣
║  HOOK (First 3 lines)                ║
║  ┌──────────────────────────────────┐║
║  │ 直接回答:「答案是:……」          │║  ← Direct answer first
║  │ or                              │║
║  │ 先讲结论:「先说结论:是的。」     │║  ← Thesis statement
║  └──────────────────────────────────┘║
╠══════════════════════════════════════╣
║  STORY / Personal Anchor             ║
║  ┌──────────────────────────────────┐║
║  │ "我是怎么知道这个的"               │║  ← Personal credibility
║  │ [Concrete personal experience]   │║  ← Lived example
║  └──────────────────────────────────┘║
╠══════════════════════════════════════╣
║  STRUCTURED ARGUMENT                  ║
║  ┌──────────────────────────────────┐║
║  │ 1. 核心原理                        │║  ← First principle
║  │    [Data/citation + explanation]  │║
║  │ 2. 常见误区                        │║  ← Refute against false theses
║  │    [Counter-argument + why wrong] │║
║  │ 3. 实用建议                        │║  ← Actionable framework
║  │    [Step-by-step methodology]     │║
║  │ 4. 深层思考                        │║  ← Meta-analysis (the X factor)
║  │    [Unique insight]               │║
║  └──────────────────────────────────┘║
╠══════════════════════════════════════╣
║  CLOSURE                              ║
║  ┌──────────────────────────────────┐║
║  │ 总结一句话:「……。」               │║  ← One-line summary
║  │ 延伸阅读:[book/paper/link]       │║  ← Bonus value
║  │ "如果觉得有用,点个赞/关注"        │║  ← Soft CTA
║  └──────────────────────────────────┘║
╚══════════════════════════════════════╝

Phase 0: Knowledge Reconnaissance

BEFORE writing, you MUST complete this research phase. Each item is mandatory.

Step 1: Question Analysis

Scan the question:
- Is it a hot question? (check Zhihu hot list relevance)
- Is it well-formulated? (clear, specific, debatable)
- What's the question type?
- 事实类 ("What is X?" ) → data-heavy, authoritative sources
- 观点类 ("Do you think X?") → personal experience + reasoning
- 经验类 ("How to do X?") → step-by-step, credibility via results
- 评价类 ("How do you evaluate X?") → balanced, multi-perspective
- Who are the top answerers? (read 3-5 top answers to understand the landscape)

Step 2: Knowledge Mapping

Search for:
- Core concepts: definitions, principles, academic references
- Data points: statistics, studies, surveys with specific numbers
- Case studies: real-world examples, historical analogues
- Expert opinions: what credible figures have said on this topic

Step 3: Counter-Intuition Hunt

MUST find at least one counter-intuitive point:
- "Commonly believed X, but actually Y"
- "Most people think A, but research shows B"
- "The mainstream advice is wrong because..."

Step 4: Citation Harvesting

Collect minimum 3 high-credibility citations:
- Academic papers (preferred)
- Official data/statistics
- Authoritative media reports
- Expert quotes with named attribution

Step 5: Angle Selection

Choose your UNIQUE angle:
- [ ] Contrarian angle: Challenge the mainstream view
- [ ] Expert insider: Reveal what people don't know from the inside
- [ ] Systematizer: Provide a framework/step-by-step no one else has
- [ ] Deep-diver: Go 10x deeper than existing answers
- [ ] Connector: Connect two seemingly unrelated fields

Phase 1: Structure Building

After Phase 0, build the answer structure:

## Structure Template

### Opening (150-250 words)
【谢邀/直接回答】
[Thesis: one sentence that answers the question directly]
[Credentials: why YOU should be trusted on this]
[Map: "我将从三个方面回答这个问题:……"]

### Body Section 1: Core Insight (400-800 words)
[概念定义 + 原理说明]
[数据/研究支持]
[个人经历或案例印证]
【要点总结:一个小绿框/加粗句】

### Body Section 2: Counter Arguments & Refinements (300-600 words)
[常见错误认知]
[为什么这些是错的]
[正确理解应该是什么]

### Body Section 3: Practical Framework (400-800 words)
[可操作的步骤/方法]
[每个步骤的具体应用场景]
[注意事项和边界条件]

### Meta-Angle: The Deep Insight (200-500 words)
[这个问题的本质是什么?]
[大多数回答没有触及到的层面]
[——这是让你的回答被收藏的段落]

### Closing (100-200 words)
[一句话总结]
[延伸阅读推荐]
[互动的邀请]

Phase 2: Writing Execution

Writing Rules for Zhihu

Rule Explanation
Direct answer first Never bury the lead. First 3 lines must answer the question
分段≤5句 Short paragraphs for mobile readability
加粗关键句 Bold the thesis statement in each section
数据必须有来源 Every number needs a citation
每300字一个"钩子" A surprising fact, a question, or a provocative statement
专业但不学院 Use plain language, but show depth
例子≥1个 Every abstract point needs a concrete example
字数3000+ Short answers don't rank. Aim for 3000-8000 chars
不要纯讲道理 Mix personal story with data
留白 Not every point needs exhaustive explanation. Let readers fill gaps

Title Rules

For 专栏文章 (not answers), the title is critical:

  • 含关键词: Include the topic's core search keyword
  • 数字 + 结果: "3个方法","10年经验","5步做到"
  • 悬念/冲突: "为什么专业的人都不说真话?"
  • 具体而非抽象: "我如何从零学会XX" vs "学习XX的方法"
  • 情绪触发: 好奇、紧迫、认同、优越
  • A/B测试: Write 3-5 title variants and pick the best

Engagement Optimization

  • Asking questions: End sections with a rhetorical question to boost comment engagement
  • Comments bait: "有不同意见欢迎评论区讨论"
  • Collection candy: "建议先收藏,慢慢看" (at a logical mid-point)
  • Upvote ask: Subtle, at the end, with justification ("如果对你有帮助")

Quality Checklist

  • [ ] Phase 0 completed (question analysis, knowledge mapping, citations found)
  • [ ] Counter-intuitive point identified and woven in
  • [ ] Direct answer in first 3 lines
  • [ ] Minimum 3 high-credibility citations
  • [ ] Personal story/experience anchor
  • [ ] At least 1 concrete example per abstract point
  • [ ] 3000+ characters length confirmed
  • [ ] Short paragraphs (≤5 sentences each)
  • [ ] Key clauses bolded for mobile scanning
  • [ ] Every number has a source
  • [ ] Title optimized (for 专栏) or opening optimized (for 回答)
  • [ ] Comment/engagement hooks placed strategically
  • [ ] Soft CTA at the end
  • [ ] No self-promotion unless explicitly relevant
  • [ ] Read aloud test: sounds natural, not translated from English

Advanced Tips

Hot-List Timing

  • Post timing: Weekday evenings 19:00-22:00 (maximum active users)
  • Weekend: Saturday 10:00-14:00 (information-seeking mode)
  • Avoid: Late night (00:00-06:00) and working hours (09:00-12:00)
  • Boost window: First 2 hours after posting — engage with every comment

Building Credibility on a New Account

  • Answer 3-5 smaller questions FIRST to build answer history
  • Get your first 100 upvotes on easy questions before tackling big ones
  • Credentials: Verify your real identity (知乎认证) if applicable
  • Consistency: Answer 1-2 questions per week minimum

Handling Controversial Topics

  • Acknowledge opposing views: "很多人可能觉得……"
  • Present data, not opinion: "根据研究显示……"
  • Stay calm: never use aggressive language
  • "我可能不对,但目前的理解是……"
  • Invite counter-arguments: "欢迎补充或反驳"

常见问题

5 问
答案由本站依据条目字段整理
zhihu-hot-article-engine怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_ba91d4a0/zhihu-hotarticle-engine。安装方式为未标注。装完刷新技能列表或重开客户端。

zhihu-hot-article-engine支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

zhihu-hot-article-engine权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

zhihu-hot-article-engine收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

zhihu-hot-article-engine用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。