Ra Hook logo

Ra Hook

CommunityPopular
Pluviobyte
ra-hook

短视频钩子(开头)类型选择与写法,中文名「钩子」。Use when 起钩子、写钩子、钩子怎么写、钩子没思路、设计前5秒钩子、写视频开头/口播稿开头, or when the user asks 视频开头怎么做、开头模板、hook 类型、帮我起个钩子, including during ra-洗稿 script rewriting and 选题深化. Provides a scenario-based taxonomy of 7 hook types with decision flow, prerequisites, sentence templates, and common mistakes. For diagnosing and optimizing an existing hook draft, use dbs-hook instead; this skill chooses the type, dbs-hook polishes the execution.

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namera-hook
Stars
1.6K
Forks
181
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Pluviobyte on GitHub. Read the source before you install it.

Installation

Install the Ra Hook AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Pluviobyte/rnskill.git /tmp/rnskill
mkdir -p .claude/skills
cp -r /tmp/rnskill/skills/ra-hook .claude/skills/ra-hook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ra Hook in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ra Hook on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ra Hook is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ra-hook(钩子):短视频开头钩子速查与决策

Goal

Given a video topic or script, pick the right hook type by scenario, then draft the first 1-3 sentences using that type's template. This skill answers "用哪种钩子"; dbs-hook answers "这个钩子好不好"。两者配合:先用本 skill 定型,再用 dbs-hook 诊断打磨。

元原则(先于一切类型)

  1. 钩子定带入,不定生死。开头最大的作用是让观众快速代入,真正能影响流量的是内容本身的质量。
  2. 哗众取宠的钩子本质是欺骗观众。悬念可以留,承诺必须兑现。
  3. 每种类型都有前提条件,前提不满足时该类型直接作废,换类型,不要硬套。

场景归类:按钩子的支点分三大类

大类支点类型典型场景
挂在内容上内容本身够硬① 内容预告 ② 价值包装干货教程、稀缺体验、实操演示
挂在观众身上观众自身状态③ 现象前置 ④ 直击痛点 ⑤ 喊话观众共鸣日常、垂类/带货、互动挑战
挂在事件上一件具体的事⑥ 事件开场 ⑦ 话题开场故事叙事、观点讨论

决策流程

问一个问题:这条视频最硬的东西是什么? 按顺序排除:

  1. 内容本身稀缺/反差(罕见体验、特殊身份、反常识组合)→ ① 内容预告
  2. 能一句话说清观众看完能得到什么 → ② 价值包装
  3. 观众有一个"我也这样"的共性窘境 → ③ 现象前置
  4. 观众有一个明确、自知、想解决的痛 → ④ 直击痛点
  5. 需要观众立刻动手/动脑参与 → ⑤ 喊话观众
  6. 手里有一件带冲突的真事 → ⑥ 事件开场
  7. 有一个能引战/引讨论的问题 → ⑦ 话题开场

都不满足?先回去补内容,不是补开头。

组合规则:一条钩子只选一个主类型,最多叠加一个辅助(常见:痛点 + 价值包装、事件 + 话题)。三个以上必然稀释。

七种钩子类型详解

① 内容预告

  • 一句话概括本条视频最大看点。
  • 前提:内容本身具备稀缺性。没有稀缺性时,把全片最精彩的片段/结论前置,达到同样效果。
  • 模板:「(稀缺身份/反差组合)+(要做的事)」或「(最精彩结论前置),这条视频告诉你怎么做到的」
  • 例:「47岁女生和小外甥去网吧的一天」「你的大学同学是一个54岁的阿姨,是一种怎样的体验」
  • 常见错误:内容平平还硬做预告,观众看完正片觉得被骗 → 掉完播。

② 价值包装

  • 开头就给足价值感,对抗瀑布流里没耐心的观众。
  • 前提:收益必须能一句话说清,且正片兑现。
  • 模板:「看完这条视频,你就能(具体收益)」/「为了(普遍目标),我们把(常见事物)爆改成了(意外形态)」
  • 例:「看完这条视频,你就能无痛把盐戒掉」「为了让大家多喝水,我们把茶水间爆改成了游戏厅」
  • 常见错误:价值承诺模糊("看完收获很大")= 没承诺。

③ 现象前置

  • 把一个普遍现象放在开头,提升代入感,降低观众进入视频的成本。
  • 前提:现象足够普遍,最好是"人间真实"级别。
  • 模板:「不知道大家是不是跟我一样,(共性窘境细节)」
  • 例:「每次出差或放假回家,行李箱就一直躺在房间里,根本不愿意收拾」「睡醒就刷短视频,一刷两小时」
  • 常见错误:现象不够普遍,变成自说自话。

④ 直击痛点

  • 痛点观众观看欲望最强,是最适合做开头的类型之一,尤其适合垂类账号(能直接激发消费需求)。
  • 前提:痛点真实、具体、观众自知。
  • 模板:「为什么你(努力了)却(得不到结果)」/「(痛点场景的具体尴尬瞬间)」
  • 例:「为什么你朋友能力没你强,赚得比你多」「养猫会掉毛、减肥不掉秤,都是痛点」
  • 常见错误:痛点是博主以为的,不是观众自认的。

⑤ 喊话观众

  • 99% 的人刷短视频时不会主动思考,开头要主动发起互动,既拉探索欲也养粉丝粘性。
  • 前提:指令具体、动作成本低、3 秒内能做。
  • 模板:「如果你今年(身份/状态),(动作指令)」/「给你3秒钟想一下(具体问题),3、2、1」
  • 例:「给你3秒钟想一下怎么在抖音上卖鸡」「接受粉丝的挑战」
  • 常见错误:指令空泛("评论区告诉我你的想法"),观众无感。

⑥ 事件开场

  • 开头直接交代发生了一件事。
  • 前提:事件必须带冲突。平铺直叙的事 = 流水账。
  • 模板:「那天我(突发事件)」
  • 例:「那天我出了车祸」「那天我偷拿了别人的东西,被抓个正着」
  • 常见错误:事件无冲突,观众等不到张力就划走。

⑦ 话题开场

  • 开头抛出一个能让更多网友参与表达的话题。绝大多数视频拍成流水账,本质是自说自话、没给观众参与空间。
  • 前提:话题人人有立场、有话说。
  • 模板:「(一个普通人/某类人)怎样才能(争议性目标)」/「你(某种隐秘心理)过吗」
  • 例:「一个普通人怎样才能从零做到年入30万」「你嫉妒过自己的朋友吗」
  • 常见错误:话题有标准答案,讨论空间为零。

与现有工作流的衔接

  • 洗稿(ra-洗稿)时:先按决策流程为改写稿选定主开头类型,再进 dbs-hook 诊断前 5 秒。
  • 选题深化时:可在选题卡上标注候选钩子类型,作为立项时形态判断的参考(强痛点题材更适合垂类短视频,强话题题材更适合观点口播)。
  • 本账号主力赛道(AI 实操教程):默认优先 ② 价值包装 和 ④ 直击痛点;纯观点口播优先 ⑦ 话题开场 和 ③ 现象前置。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ra Hook AI skill do?

短视频钩子(开头)类型选择与写法,中文名「钩子」。Use when 起钩子、写钩子、钩子怎么写、钩子没思路、设计前5秒钩子、写视频开头/口播稿开头, or when the user asks 视频开头怎么做、开头模板、hook 类型、帮我起个钩子, including during ra-洗稿 script rewriting and 选题深化. Provides a scenario-based taxonomy of 7 hook types with decision flow, prerequisites, sentence templates, and common mistakes. For diagnosing and optimizing an existing hook draft, use dbs-hook instead; this skill chooses the type, dbs-hook polishes the execution.

Why use Ra Hook on TypingMind?

Because you install it once and use it with any model. Ra Hook is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ra Hook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/ra-hook. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ra Hook?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ra Hook?

As many as you like. As long as a model supports skills, you can use Ra Hook with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ra Hook AI skill free?

It is published on GitHub by Pluviobyte. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇