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Agent Skill · 研究检索

viral-hook-creator(病毒式挂钩创造者)

viral-hook-creator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

viral-hook-creator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 13,180。

总安装 9,620周安装 409GitHub Stars 141下载 3,370核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:viral-hook-creator(病毒式挂钩创造者)
来源仓库:https://github.com/ognjengt/founder-skills
仓库路径:skills/viral-hook-creator
安装命令:
npx skills add https://github.com/ognjengt/founder-skills --skill viral-hook-creator
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/ognjengt/founder-skills --skill viral-hook-creator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。viral-hook-creator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。注意是否会触发联网或文件读写。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/viral-hook-creator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ognjengt/founder-skills --skill viral-hook-cre…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

viral-hook-creator 怎么安装?

在终端执行 npx skills add https://github.com/ognjengt/founder-skills --skill viral-hook-creator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

viral-hook-creator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

viral-hook-creator 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

viral-hook-creator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

viral-hook-creator 用的人多吗?

公开数据是累计安装 9,620 次,近一周安装 409 次,下载 3,370 次,GitHub 141 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

viral-hook-creator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
viral-hook-creator

病毒式挂钩创造者 · 本页

9,620141只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Viral Hook Creator

Purpose

Generate 3-5 viral hook options using proven psychological patterns that create curiosity, provide value, and drive engagement. Hooks are optimized for social platforms (X/Twitter, LinkedIn, Instagram, TikTok).


Execution Logic

Check $ARGUMENTS first to determine execution mode:

If $ARGUMENTS is empty or not provided:

Respond with: "viral-hook-creator loaded, proceed with additional instructions"

Then wait for the user to provide their requirements in the next message.

If $ARGUMENTS contains content:

Proceed immediately to Task Execution (skip the "loaded" message).


Task Execution

When user requirements are available (either from initial $ARGUMENTS or follow-up message):

1. MANDATORY: Read Reference Files FIRST

BLOCKING REQUIREMENT - DO NOT SKIP THIS STEP

Before doing ANYTHING else, you MUST use the Read tool to read BOTH reference files. This is non-negotiable:

Read: ./references/hook-patterns.md
Read: ./references/trigger_words.md

What you will find:

  • hook-patterns.md: 18 proven hook patterns with templates, psychology explanations, and the Pattern Selection Matrix
  • trigger_words.md: Four categories of viral trigger words (Insider, Helper, Thinker, Amplifiers)

DO NOT PROCEED to step 2 until you have read both files and have the patterns and trigger words loaded in context.

2. Check for Business Context (Optional)

Check if FOUNDER_CONTEXT.md exists in the project root.

  • If it exists: Read it and use the business context to personalize your output (industry terminology, audience pain points, brand voice, authority metrics).
  • If it doesn't exist: Proceed using defaults from the "Defaults & Assumptions" section.

3. Analyze Input

From the user's requirements, extract:

  • Content topic/theme
  • Target platform (X, LinkedIn, Instagram, TikTok, general)
  • Goal (awareness, education, engagement, conversion)
  • Target audience demographics and psychographics
  • Available social proof (stats, achievements, research)

For any missing information, apply defaults from the "Defaults & Assumptions" section.

4. Generate Viral Hooks

Using the patterns and trigger words you read in Step 1, create hooks:

  1. Select patterns from hook-patterns.md using the Pattern Selection Matrix (match user's goal + platform)
  2. Draft each hook using the pattern template as your starting point
  3. Integrate 1-2 trigger words from trigger_words.md into each hook as you write:

- Insider words (secretly, revealed, hidden, uncovered, etc.) → exclusivity patterns - Helper words (losing, wasting, bleeding, stealing, etc.) → problem/urgency patterns - Thinker words (backwards, myth, counterintuitive, paradox, etc.) → contrarian patterns - Amplifiers (literally, every, zero, completely, etc.) → any pattern for intensity

  1. Follow all Writing Rules (Core Rules, Pattern-Specific Rules, Platform-Specific Adaptations)
  2. Ensure differentiation - each hook must use a unique pattern
  3. Verify natural integration - trigger words should enhance, not distract

5. Format and Verify

  • Structure output according to Output Format section
  • Complete Quality Checklist self-verification
  • Verify each hook contains trigger words from the reference file

Writing Rules

Hard constraints. No interpretation.

Core Rules

  • Maximum 120 characters for X/Twitter hooks.
  • Maximum 1-2 lines (40-60 characters) for video hooks.
  • Lead with the most interesting element.
  • Create a curiosity gap (promise value but withhold details).
  • Use specific numbers when possible (not "many" but "17").
  • Avoid clickbait that doesn't deliver.
  • Use power words: steal, secret, mistake, never, proven, blueprint.
  • No emojis unless platform-specific (Instagram/TikTok OK, LinkedIn/X avoid).
  • No fluff or filler words.
  • Active voice only.
  • Present tense preferred.

Pattern-Specific Rules

  • For authority hooks: Lead with credible metric.
  • For list hooks: Use odd numbers (7 > 6, 5 > 4).
  • For story hooks: Start with unexpected outcome.
  • For data hooks: Lead with surprising stat.
  • For cautionary hooks: Lead with mistake/lesson.

Platform-Specific Adaptations

  • X/Twitter: Punchy, contrarian, data-driven, 120 char max.
  • LinkedIn: Professional, achievement-oriented, thought leadership, 40-60 char first line.
  • Instagram: Visual promise, lifestyle-oriented, aspirational, 125 char before "more" cutoff.
  • TikTok: Fast-paced, relatable, trend-aware, 20-30 char on-screen text.
  • General: Versatile, platform-agnostic.

Output Format

Clean and simple. Just hooks with their pattern type as a headline.

### [Pattern Name]
[Hook text]

### [Pattern Name]
[Hook text]

### [Pattern Name]
[Hook text]

Example:

### Authority Credibility
I run a 23-person software agency. Here are 5 things I would never do again.

### Data-Driven Insight
I analyzed 1,000 LinkedIn posts. Here are the top 5 patterns that drove engagement.

### Contrarian
Everyone tells you to post daily. I posted 3x per week and got 10x more engagement.

Defaults & Assumptions

Use these unless overridden.

  • Number of hooks: 3
  • Platform: X/Twitter (most restrictive character limit).
  • Goal: Maximize engagement (likes, comments, shares).
  • Audience: General business/entrepreneurship audience.
  • Tone: Professional but conversational (matches most founders).
  • Emotion: Curiosity (safest default for viral content).
  • Format: Thread/post opener (not video hook).

References

These files MUST be read using the Read tool before generating any hooks (see Step 1 of Task Execution):

FilePurpose
./references/hook-patterns.md18 proven hook patterns with templates, psychology, and Pattern Selection Matrix
./references/trigger_words.mdViral trigger word categories (Insider, Helper, Thinker, Amplifiers)

Why both matter: Hook patterns provide psychological structure. Trigger words amplify emotional impact. Patterns alone = good hook. Patterns + trigger words = viral hook (~10x more engagement).


Quality Checklist (Self-Verification)

Before finalizing, verify ALL of the following:

Pre-Generation Check

  • I read ./references/hook-patterns.md before generating hooks
  • I read ./references/trigger_words.md before generating hooks
  • I have the 18 patterns and 4 trigger word categories in context

Pattern & Structure Verification

  • Each hook uses a proven pattern from hook-patterns.md (not made-up patterns)
  • Each hook uses a DIFFERENT pattern (no repetition)
  • Pattern templates were adapted to user context
  • Hooks create genuine curiosity without being misleading

Trigger Word Integration Verification

  • Each hook contains 1-2 trigger words FROM THE FILE I READ
  • Trigger words match pattern types appropriately
  • Trigger words are integrated naturally (not forced)
  • Trigger words enhance emotional impact

Writing Rules Compliance

  • Character limits respected for platform
  • Specific numbers used (not "many" or "some")
  • Active voice throughout
  • No fluff or overused phrases

Final Check

If ANY hook is missing trigger words from the reference file or uses patterns not from hook-patterns.md → revise before presenting.


平台分布

Codex

37.71%
按下载量换算1,271

Claude

28.19%
按下载量换算950

Cursor

18.39%
按下载量换算620

Gemini CLI

8.36%
按下载量换算282

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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