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Happyhorse Prompter

Community
cclank
happyhorse-prompter

生成符合 HappyHorse 1.0 严格规则的紧凑提示词(30-55 词),主体先行 + 明确镜头技术 + 音频激活路径(with X audible / speaking English at natural pace)。可选加入"8s 时序节拍"结构。用于"用 HappyHorse 生成视频"、"做个 3-15 秒短片"、"要原生带音频的视频"、"ASMR 视频提示词"等触发场景。

Overview

Publishercclank
Repositorylanshu-awesome-ai-video-kit
Skill namehappyhorse-prompter
Stars
426
Forks
99
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Happyhorse Prompter 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.
    https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter
  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/cclank/lanshu-awesome-ai-video-kit.git /tmp/lanshu-awesome-ai-video-kit
mkdir -p .claude/skills
cp -r /tmp/lanshu-awesome-ai-video-kit/skills/happyhorse-prompter .claude/skills/happyhorse-prompter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Happyhorse Prompter 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 Happyhorse Prompter 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 Happyhorse Prompter 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.

happyhorse-prompter

HappyHorse 1.0(阿里巴巴 Kling 团队)的核心差异:原生音视频联合生成 + 严格按字数执行。这个 skill 帮你产出符合它脾气的紧凑提示词。

何时不用此 skill

五大黄金规则

详见 methodology/02-进阶公式.md。

规则 1:主体先行,动作其后

  • ❌ Walking through a forest, a woman...
  • ✅ A woman in hiking gear walking through a forest...

规则 2:明确指定镜头技术

HappyHorse 对"特写""广角"的理解非常精确,不要留给模型猜测。

规则 3:提示词长度控制在 30-55 词

  • 过短(<30 词) → 输出模糊
  • 过长(>60 词) → 模型忽略后半段

写完数一下英文单词数。

规则 4:物理效果加运动描述词

头发、水、布料、烟雾、火焰:加 slow motion、motion blur 或 fluid dynamics

规则 5:明确指定音频内容

音频激活路径(这是 HappyHorse 区别于 Seedance 的核心能力):

  • with rain on leaves audible → 雨打树叶声
  • with engine roar audible → 引擎轰鸣声
  • speaking English at a natural pace → 自然英语对话
  • speaking Korean at a measured pace → 韩语对话
  • with ambient coffee shop chatter audible → 咖啡馆环境音
  • with the pour sound audible → 倒水/液体声
  • with faint crackling sound audible → 火苗噼啪声
  • with hoofbeats audible → 马蹄声
  • with drone motor whine audible → 无人机马达声
  • complete silence / near silence with faint wind audible → 纯静或环境底噪

不写音频提示 = 模型可能不生成音频或乱生成。主动写。

工作流程

步骤 1:判断要不要时序节拍

如果用户的需求包含时间结构(如"先静止 2 秒,然后画面渐显"、"前 3 秒做 A,后 5 秒做 B"),用 CrePal 时序节拍写法:

8s duration. First 2s: black. Slow fade reveals: [画面 A]...

否则直接写 30-55 词紧凑版。

步骤 2:按公式拼接

[主体(明确特征)] [动作(具体)] [场景] [镜头大小+运动] [光影] [音频路径] [质量/风格].

英文写。

步骤 3:数词

  • 复制到一个字数统计工具或心算 → 严格 30-55 词
  • 超过 55 词:删形容词(不删核心要素),保留主体/镜头/音频路径
  • 少于 30 词:补充镜头大小或音频细节

步骤 4:输出格式

markdown
## 生成的提示词

\`\`\`
[完整提示词]
\`\`\`

**词数**:N · **时长建议**:N-Ns · **比例**:[X:Y]
**音频路径**:[突出说明用了什么音频提示]
**可调点**:[换音频/换镜头/换光影都可以怎么改]

⚠️ 时长写法硬规则(每次必查)

时长信息有 2 个去处,二选一,不能同时,也不能放错位置:

用户场景时长去处写法
用户只说"做个 X 视频"(无明确时序)只放在外部元数据prompt 内不写时长;**时长建议**:5-7s 放在末尾元数据行
用户明确说"前 N 秒...然后..."(有时序节拍)放 prompt 最前面作时序锚点Ns duration, first Ns: black. [content] 这种结构

反例(❌ 不要这样写):

晨光透过咖啡店玻璃门...温暖琥珀色调,16:9,5 秒。  ← 把时长埋在 prompt 中段/末尾

正例 A(✓ 无明确时序 — prose 不带时长):

晨光透过咖啡店玻璃门,木质门牌"OPEN"翻转...
(门铃叮当声 + 咖啡机蒸汽嘶嘶声)

然后元数据行写:**时长建议**:5s

正例 B(✓ 有明确时序 — 时长前置):

5s duration. 晨光透过咖啡店玻璃门,木质门牌"OPEN"翻转...

自检清单(输出前必过):

  1. prompt 内部是否出现"N 秒" / "Ns" / "持续 N 秒"等时长描述?
  2. 如果出现,它是不是在最开头作为时序锚点?
  3. 如果不在最开头,搬到外部元数据行,prompt 内删掉。

实战示例

用户输入:"做个雨夜街头吉他手的视频"

判断:6-8 秒紧凑场景,需要带音频(吉他声+雨声)→ 不需要时序节拍,用紧凑模板。

输出:

A guitar player busking on a rain-slicked city street at night, medium shot, neon reflections on wet pavement, rain falling softly, with acoustic guitar sound audible, warm tungsten light from shop windows.

词数:30 · 时长建议:6-8s · 比例:16:9 音频路径:with acoustic guitar sound audible 激活原生吉他音轨;环境雨声不写也会带(因为画面就是雨)。 可调点:把 warm tungsten light from shop windows 换成 harsh sodium streetlight only 改成冷峻感;加 with light rain on awning audible 强化雨声层次。


用户输入:"想要 8 秒,前 2 秒黑屏,然后慢慢揭示一片山谷"

判断:明确的时间结构 → 用时序节拍模板。

输出:

8s duration, first 2s: black. Slow fade reveals: wide shot, mountain valley at dawn, low mist between pine trees, single dirt road leading into the scene, no people. Camera very slowly pushes forward on a dolly. Soft blue-gold light on the horizon. Quiet, cinematic, high production value.

词数:48 · 时长建议:8s · 比例:16:9 音频路径:未指定 → HappyHorse 默认匹配晨间风声底噪;可加 with distant birdsong audible 进一步强化。 可调点:把 dirt road 换成 wooden cabin in distance 增加视觉锚点;blue-gold light 改 pink-orange 调更暖。

图转视频(已有参考图)的正确姿势

当有参考图时,不要重复描述图中已有的内容,专注于描述变化:

✅ 应该写❌ 不要写
walks toward camera / head turns left重复图中已有的服装颜色
slow push-in / lateral tracking right重复图中已有的构图
hair drifts / fabric ripples / steam rises重复图中已有的主体外观

参考资源

Frequently asked questions

What does the Happyhorse Prompter AI skill do?

生成符合 HappyHorse 1.0 严格规则的紧凑提示词(30-55 词),主体先行 + 明确镜头技术 + 音频激活路径(with X audible / speaking English at natural pace)。可选加入"8s 时序节拍"结构。用于"用 HappyHorse 生成视频"、"做个 3-15 秒短片"、"要原生带音频的视频"、"ASMR 视频提示词"等触发场景。

Why use Happyhorse Prompter on TypingMind?

Because you install it once and use it with any model. Happyhorse Prompter 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 Happyhorse Prompter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Happyhorse Prompter?

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 Happyhorse Prompter?

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

Is the Happyhorse Prompter AI skill free?

Yes. It is published on GitHub by cclank under the MIT license. 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.

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