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Kling Prompter

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cclank
kling-prompter

生成符合 Kling 3.0(可灵 3.0,快手)规则的视频提示词。三种写法自适应:4 部分基础公式(短视频)/ 5 层进阶公式(剧情+音频)/ 图生视频专用(只描述运动)。Kling 是 2026 年中文理解最强、原生音画同步、最长 2 分钟、支持角色定向发声、Motion Brush 的电影级模型。用于"用 Kling 生成视频"、"可灵 AI 提示词"、"中文视频生成"、"带原生音频的剧情视频"、"图生视频"、"角色对话视频"等触发场景。

Overview

Publishercclank
Repositorylanshu-awesome-ai-video-kit
Skill namekling-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 Kling 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/kling-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/kling-prompter .claude/skills/kling-prompter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kling 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 Kling 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 Kling 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.

kling-prompter

Kling 3.0(可灵 3.0,快手)的三套主流写法:4 部分基础 / 5 层进阶 / 图生视频。

何时不用此 skill

三套写法决策树

你的需求是?
├── 5 秒短视频、单一场景        → 写法 1(4 部分基础公式)
├── 带剧情、带音频、多角色      → 写法 2(5 层进阶公式)★ Kling 强项
└── 已有参考图,只需动起来      → 写法 3(图生视频专用)★ Kling 强项

工作流程

步骤 1:判断写法

用户的需求关键词写法
短视频、TikTok、抖音、循环、爆款、变身写法 1(4 部分)
对话、剧情、配音、CTA、广告、多角色写法 2(5 层)
这张图、参考这张照片、让它动起来写法 3(图生视频)

步骤 2:澄清缺失要素(必要时)

如果信息不够,问 2-3 个关键问题(不是全部):

场景必问的 2-3 项
短视频主体(具体外观)、动作(动词+终点)、风格(电影感/动漫/赛博朋克)
5 层剧情角色(年龄+服装)、对话内容、要不要原生音频(音乐/音效/voiceover)
图生视频主体在图中做什么变化(不要再描述图本身)、镜头怎么动

步骤 3:按选定写法填充

写法 1:4 部分基础公式
[Subject - 具体视觉细节] [Action - 精确运动+终点] [Context - 3-5 环境元素] [Style - 镜头+灯光+氛围].

详细参考 methodology/09-kling-公式.md。

写法 2:5 层进阶公式(Kling 的看家本领)

强烈推荐用结构化格式,模型按层解析:

Scene: [地点 + 时间 + 氛围]
Characters: [每个角色的具体描述,age + 关键服装/外貌]
Action: [按时间顺序的步骤,体现因果与递进]
Camera: [镜头类型 → 运动 → 切换]
Audio & Style: [对话/音效/音乐 + 视觉风格]

⚠️ Audio & Style 这层是 Kling 的差异化卖点,一定要写!Seedance / HappyHorse 都做不到角色定向发声。

写法 3:图生视频专用

铁律:只描述运动,不重复图中已有的视觉信息。

❌ 不要写:A red sports car with chrome wheels on a wet road...(图已有) ✅ 直接写:The headlights blaze on and the engine roars to life. The rear tires spin...

步骤 4:6 条 Kling 写作守则自查

  • 用 active verbs 替代笼统词(rockets / slams / erupts)
  • 描述 时序流(开头 → 中间 → 结尾)
  • 用 具体光源 代替 "dramatic lighting"
  • 加 触感细节(grain / reflections / sweat / steam)
  • 加 显式 endpoint(防 99% 卡死):then settles back / fades out
  • 幻想场景用 物理交互锚定(stone crumbles / torches flicker)

步骤 5:决定语言(中文还是英文)

场景推荐语言
中式美学、武侠、汉服、中文台词中文(Kling 中文理解最强)
国际化、Hollywood 风、产品广告英文
二者混合选主导风格,不混用

步骤 6:加负向提示

Negative: cartoonish, 3D render, smooth plastic skin, floating limbs,
         sliding feet, text morphing, no watermark, no logo.

需要真人感时加 smiling 到 negative(让表情自然)。

步骤 7:输出格式

markdown
## 生成的 Kling 提示词(写法 N)

\`\`\`
[完整提示词]
\`\`\`

**推荐参数**:宽高比 [X:Y] · 时长 [N 秒] · 模型 [Kling 3.0 / Kling O1]
**关键技巧**:[1-2 句说明这条提示词的设计思路]
**可调点**:[告诉用户可以怎么改]

实战示例

例 1:用户要"短视频,女孩变成动漫角色"

判断:变身爆款 → 写法 1(4 部分基础)

输出:

A young woman in casual streetwear standing center frame, her body slowly engulfed by glowing particles as she transforms into a vibrant anime version of herself with stylized hair and large expressive eyes, then settles into her new form. TikTok-style vertical framing, neon pink and cyan rim lighting, smooth transition with sparkle bursts, high-energy K-pop MV aesthetic.

Negative: 3D render, plastic skin, floating limbs, text morphing, watermark.

参数:9:16 · 5s · Kling 3.0 关键技巧:4 要素齐全 — Subject(具体服装)+ Action(带终点:then settles)+ Context(3 个:neon rim light/sparkle/vertical)+ Style(K-pop MV aesthetic)。 可调点:把 K-pop MV 换成 Cyberpunk / Studio Ghibli 改风格;把 glowing particles 换成 glitch effects 改变身机制。


例 2:用户要"两个老朋友 10 年后重逢,要带配音"

判断:带剧情 + 带音频 → 写法 2(5 层进阶)

输出:

Scene: A park bench at golden hour in late autumn, fall leaves drifting through the air, soft amber sunlight slanting through bare branches.

Characters: Two reunited friends with a 10-year gap, both early 30s. Character A wears a wool coat and scarf, slightly nervous. Character B wears a denim jacket, more outwardly emotional.

Action: Character A sits down beside Character B, hesitates, then says "It's been a long time." Character B turns slowly, eyes widening with recognition, replies "Too long. I almost didn't recognize you." They both pause, then share a quiet laugh that breaks the tension.

Camera: Slow push-in on Character A as he speaks, then over-the-shoulder cut to Character B's reaction, ending on a held wide two-shot of both on the bench.

Audio & Style: Soft solo piano underscore building gently, ambient park sounds (distant kids playing, leaves rustling), warm cinematic color grade with teal-and-amber accents, naturalistic dialogue delivery.

Negative: smiling broadly, cartoonish, 3D render, plastic skin, sliding feet, watermark.

参数:16:9 · 12s · Kling 3.0(推荐) 关键技巧:5 层全开。Characters 层给两个角色各自的「锚点服装」防漂移;Action 层用因果链(坐下 → 犹豫 → 开口 → 反应 → 共同笑)让叙事自然;Audio & Style 层既给音乐又给环境音,触发 Kling 原生音画同步。 可调点:换 golden hour → blue hour 改基调;换 piano underscore → silence + only ambient 让情感更克制。


例 3:用户上传了一张厨房照片,想"让它动起来,厨师颠炒"

判断:图生视频 → 写法 3

输出:

The chef flips the wok hard, launching noodles into the air as a fireball erupts upward. He catches them clean, tilts the wok and slides the dish onto a plate with his spatula, then pushes the plate across the worn counter toward the camera with a grin. Steam billows upward through the lantern light.

Negative: floating limbs, plastic skin, sliding feet, watermark.

参数:16:9 · 8s · Kling 3.0 关键技巧:完全没重描述图中的厨房布局/厨师外貌(图自己有),只写运动序列(flip → fire → catch → slide → push)+ 物理细节(steam billows)。明火创造动态光照是 Kling 的强项。 可调点:删 fireball erupts 改成温和炒制;把 with a grin 删掉让表情更专注。

参考资源

Frequently asked questions

What does the Kling Prompter AI skill do?

生成符合 Kling 3.0(可灵 3.0,快手)规则的视频提示词。三种写法自适应:4 部分基础公式(短视频)/ 5 层进阶公式(剧情+音频)/ 图生视频专用(只描述运动)。Kling 是 2026 年中文理解最强、原生音画同步、最长 2 分钟、支持角色定向发声、Motion Brush 的电影级模型。用于"用 Kling 生成视频"、"可灵 AI 提示词"、"中文视频生成"、"带原生音频的剧情视频"、"图生视频"、"角色对话视频"等触发场景。

Why use Kling Prompter on TypingMind?

Because you install it once and use it with any model. Kling 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 Kling 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/kling-prompter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kling 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 Kling Prompter?

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

Is the Kling 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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