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marketing-hooks营销挂钩

Agent Skill

marketing-hooks 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,774

周安装

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GitHub Stars

1

下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:marketing-hooks(营销挂钩)
来源仓库:https://github.com/yuqingnicole/marketing-hooks
安装命令:
openclaw skills install marketing-hooks
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install marketing-hooks

简介

营销挂钩技能基于谜题驱动模型生成吸引眼球的社交媒体文案与内容结构模板。

  • 适用于内容创作者、运营人员提升帖子点击率与用户参与度。
  • 通过 clawhub 安装后,在 OpenClaw 中部署,支持输入主题关键词自动生成初稿。
  • 使用前应评估生成内容的合规性,避免误导性或侵权表述出现。
  • 适合效率类 Agent 嵌入至内容管理系统,实现批量草稿生产与优化建议。

SKILL.md

name
marketing-hooks
description
Create compelling marketing hooks and content structures using the Puzzle-Driven Model. Use when creating social media posts, newsletters, video scripts, or any marketing content that needs to capture attention. Triggers include "write a hook", "create a title", "make this more engaging", "content structure", "wow factor", or when analyzing why content performs well.

Marketing Hooks - Puzzle-Driven Content Model

Create attention-grabbing marketing content using proven psychological frameworks.

Core Principle: Questions Drive Engagement

Good content is driven by good questions. Good questions are puzzles.

When your opening creates a puzzle, the audience's brain automatically tries to solve it. This creates engagement and retention.

Four Question Types

1. How-Type (Method)

Pattern: "How to [achieve desired outcome]?"

Examples:

  • "How to become wealthy quickly?"
  • "From white-label to brand?"
  • "How to start cross-border e-commerce?"
  • "How to 10x your productivity with AI?"

Best for: Tutorials, guides, practical content

2. Why-Type (Reason)

Pattern: "Why [surprising fact/outcome]?"

Examples:

  • "Why did they become CEO?"
  • "Why 90% of AI tools fail?"
  • "Why top creators don't post daily?"

Best for: Analysis, insights, thought leadership

3. What-Type (Definition)

Pattern: "What is [concept/term]?"

Examples:

  • "What is supply-side reform?"
  • "What is CPS?"
  • "What is Product-Market Fit?"

Best for: Educational content, explainers

4. WoW-Type (Extreme Case) ⭐ HIGHEST ENGAGEMENT

Pattern: Create probability-defying extreme cases

Core insight: WoW = Manufacturing extremely low-probability extreme cases

Formula:

  • Discover extremes → Get traffic
  • Become extreme → Build brand

Examples:

  • "Gen-Z makes $100K/month with AI"
  • "10K followers in 3 days - the secret"
  • "I replaced my entire team with one tool"
  • "This 19-year-old built a $1M business with ChatGPT"

Why it works: Brain automatically fills in missing logic, creating engagement stickiness.

Visual/Info/Case combinations:

  • Extreme visual + surprising data
  • Impossible timeline + real results
  • Tiny input + massive output

Content Tree Structure

Every piece of content should follow this hierarchy:

Question (Root)
    ↓
Viewpoint (Trunk)
    ↓
Reasoning (Branches)
    ↓
Evidence (Leaves)

Gan Method Content Model

Structure:

  1. Core viewpoint (Trunk)
  2. Sub-arguments (Branches)
  3. Evidence (Leaves) - Must be:

- Unexpected - Memorable - Vivid

Quality check: A good 15-min video or well-evidenced article = a tree with lush branches and leaves.

Platform-Specific Applications

Xiaohongshu (Little Red Book)

Best formats:

  • WoW-type titles: "Gen-Z AI tools $100K/month"
  • How-type for tutorials: "5 AI tools for 10x efficiency"

Structure:

  1. Hook (5-10s): WoW statement
  2. Pain point (10-15s): "Are you also facing..."
  3. Solution (120-180s): Step-by-step with demos
  4. Results (20-30s): Proof
  5. CTA (5-10s): "Follow for more"

X (Twitter)

Best formats:

  • Start with puzzle: "Do you know why 90% of people fail with AI tools?"
  • Then reveal answer in thread

Structure:

  • Tweet 1: Puzzle/Hook
  • Tweet 2-4: Reasoning + Evidence
  • Final tweet: Conclusion + CTA

Newsletter

Best formats:

  • Question (title) → Viewpoint (intro) → Reasoning (body) → Evidence (examples)

Structure:

  • Subject line: WoW or Why-type
  • Opening: Establish puzzle
  • Body: Tree structure (trunk → branches → leaves)
  • Closing: Actionable takeaway

Hook Generation Workflow

When asked to create hooks:

  1. Identify the core message

- What's the main point? - What outcome does the audience want?

  1. Choose question type

- Practical guide? → How - Surprising insight? → Why - New concept? → What - Extreme case? → WoW (prioritize this!)

  1. Apply WoW amplification

- Can you make it more extreme? - Can you add surprising numbers? - Can you create contrast (small input → big output)?

  1. Test the puzzle

- Does it make you think "why?" or "how?" - Does it create information gap? - Would you click it?

Examples Library

See EXAMPLES.md for detailed case studies and templates.

Quality Checklist

Before finalizing content:

  • [ ] Does the opening create a puzzle?
  • [ ] Is there a clear tree structure (root → trunk → branches → leaves)?
  • [ ] Are the evidence points unexpected, memorable, and vivid?
  • [ ] For WoW-type: Is the case extreme enough?
  • [ ] Does it make the brain want to "fill in the gaps"?

References

  • "Writing is a Craft" - "Questions are the engine of articles"
  • Gan Method - Content tree structure
  • WoW Psychology - Extreme case engagement mechanics

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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