Seedance
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
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…
Install Kling Prompter
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kling-prompter .claude/skills/kling-prompter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .claude/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kling-prompter .agents/skills/kling-prompter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .agents/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kling-prompter .cursor/skills/kling-prompter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .cursor/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cclank/lanshu-awesome-ai-video-kit.git --path skills/kling-prompter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kling-prompter .gemini/skills/kling-prompter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .gemini/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kling-prompter .github/skills/kling-prompter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .github/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit kling-prompter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kling-prompter .opencode/skills/kling-prompter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kling-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/kling-prompter into .opencode/skills/kling-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kling-prompter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kling-prompter- GitHub stars
- 414
- Token cost
- ~1.4k tokens
- SKILL.md length
- 271 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Tasks that involve AI video generation
- SKILL.md covers 何时不用此 skill, 三套写法决策树, 工作流程 and 实战示例, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Kling Prompter is an agent skill from cclank/lanshu-awesome-ai-video-kit. 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。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: 做企业 AI 视频项目逼出来的工具包 · 411 prompt · 15 模型 · 7 Claude Skill · 14 篇方法论. The licence is MIT.
When your agent uses it
- Tasks that involve AI video generation
Example prompts
- “用 Kling 生成视频”
- “可灵 AI 提示词”
- “中文视频生成”
- “/kling-prompter”
What it can do on your machine
Read from SKILL.md and the folder at commit f4c1bbd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
klingai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kling Prompter loads about 1.4k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 271 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from cclank/lanshu-awesome-ai-video-kit at commit f4c1bbd, republished under its MIT licence (© cclank). 271 words, ~1,447 tokens.
Download SKILL.mdSave it as
.claude/skills/kling-prompter/SKILL.md (or your agent's skills folder).- name
- kling-prompter
- description
- 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。
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
- 复杂多镜头分镜叙事（>15s） → 用 seedance-storyboard
- 5/10/15 秒紧凑短片，对原生音频要求不高 → 用 happyhorse-prompter
- 已有 Seedance 提示词需修问题 → 用 seedance-debugger
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
## 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
- Kling 完整方法论：methodology/09-kling-公式.md
- 36 条实测提示词：prompts/kling/README.md
- 运镜词典（通用）：methodology/05-运镜词典.md
- 官方平台：klingai.com
© cclank, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/kling-prompter of cclank/lanshu-awesome-ai-video-kit.
Open the folder on GitHubat commit f4c1bbd
Compare with similar skills
Kling Prompter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kling Prompter this skillcclank/lanshu-awesome-ai-video-kit | 414 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Seedance Prompt Endexhunter/seedance2-skill | 4.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Seedance Japanese Prompt ExamplesEmily2040/seedance-2.0 | 7.6k | 1 repos | ~898 | Automated safety check: Pass | MIT | |
| Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director | 561 | — | ~3.5k | Automated safety check: Pass | MIT |
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Seedance Prompt Zh
dexhunter/seedance2-skill
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
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Happyhorse Prompter
cclank/lanshu-awesome-ai-video-kit
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。
Model Selector
cclank/lanshu-awesome-ai-video-kit
根据用户的视频需求(场景、时长、音频、语言、平台限制、预算、是否需要本地部署/角色一致性等),从 16 个主流 AI 视频模型(12 商业 + 4 开源)中推荐最匹配的 1-3 个,并解释为什么。覆盖商业:Seedance 2.0、HappyHorse 1.0、Kling 3.0、Sora 2、Veo 3.1、Gemini Omni(2026-05 新)、Runway…
Prompt Translator
cclank/lanshu-awesome-ai-video-kit
把一条 AI 视频提示词从源模型(如 Sora 2)的写法风格转换为目标模型(如 Kling 3.0 / Wan 2.7 / Veo 3.1 等)的最佳实践写法。基于 110 条 10 场景 × 11 模型对照基准数据(prompts/data/cross-model-matrix.json),不是凭直觉重写,而是查表式 in-context learning。10 场景:产品 / 双人对话…
Seedance Debugger
cclank/lanshu-awesome-ai-video-kit
诊断 Seedance 2.0 生成视频时出现的常见问题（人物 ID 漂移/双胞胎/字幕/Logo/风格漂移/延长跳变/画质劣化/特效不对/中文发音/音色不准/结尾噪音 等 12 类），定位根因并给出修复后的提示词。用于"我的提示词生成出来不对"、"视频里出现奇怪的字幕"、"人脸不像参考图"、"出现两个一样的人物"、"风格变了"、"怎么修这个提示词"等触发场景。
Seedance Prompter
cclank/lanshu-awesome-ai-video-kit
把用户的自然语言视频需求转换为符合 Doubao Seedance 2.0 进阶公式的提示词（8 要素：精准主体+动作细节+场景环境+光影色调+镜头运镜+视觉风格+画质+约束条件）。用于"帮我写一个 Seedance 提示词"、"生成视频提示词"、"做个产品广告视频"、"用 Seedance 生成 XX"等触发场景。如果用户没明确说…
Seedance Storyboard
cclank/lanshu-awesome-ai-video-kit
把复杂剧情/故事大纲拆分为 Seedance 2.0 的"镜头1/镜头2/镜头3"多分镜结构。每个分镜按 4 维度组织（运镜 + 主体动作与表情 + 位置/空间变化 + 音频）。用于"帮我把这个故事写成 Seedance 提示词"、"分镜脚本"、"多镜头视频"、"剧情复杂的视频"、"剧本转分镜"等触发场景。
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Questions about Kling Prompter
What does Kling Prompter 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…. Kling Prompter is an agent skill from cclank/lanshu-awesome-ai-video-kit.
When should I use Kling Prompter?
Kling Prompter fits situations like: tasks that involve AI video generation.
How do I install Kling Prompter in Claude Code?
Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a claude-code`. Or copy the skill folder (skills/kling-prompter in cclank/lanshu-awesome-ai-video-kit) into .claude/skills/kling-prompter in your project. Claude Code loads it when a task matches its description.
How do I install Kling Prompter in Codex?
Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a codex`. Or copy the skill folder (skills/kling-prompter in cclank/lanshu-awesome-ai-video-kit) into .agents/skills/kling-prompter in your project. Codex loads it when a task matches its description.
Can I use Kling Prompter in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill kling-prompter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kling-prompter, .gemini/skills/kling-prompter, .github/skills/kling-prompter and .opencode/skills/kling-prompter in your project.
What does Kling Prompter need to run?
SKILL.md names no scripts, command-line tools or credentials: Kling Prompter is instructions for the agent only.
Does Kling Prompter access the network?
SKILL.md names 1 domain. As links in the text: klingai.com. This is read from the text; nothing was executed.
Is Kling Prompter safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Kling Prompter use?
Kling Prompter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Kling Prompter use?
About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Kling Prompter?
Skills that share tags, products or a category with Kling Prompter: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kling Prompter?
cclank (a GitHub user) maintains it in cclank/lanshu-awesome-ai-video-kit, which has 414 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.
Source: cclank/lanshu-awesome-ai-video-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.