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 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。
Install Happyhorse Prompter
$ npx skills add cclank/lanshu-awesome-ai-video-kit --skill happyhorse-prompter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit happyhorse-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/happyhorse-prompter .claude/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .claude/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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/happyhorse-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 happyhorse-prompter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit happyhorse-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/happyhorse-prompter .agents/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .agents/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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 happyhorse-prompter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit happyhorse-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/happyhorse-prompter .cursor/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .cursor/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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/happyhorse-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 happyhorse-prompter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cclank/lanshu-awesome-ai-video-kit happyhorse-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/happyhorse-prompter .gemini/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .gemini/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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 happyhorse-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 happyhorse-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/happyhorse-prompter .github/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .github/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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 happyhorse-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 happyhorse-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/happyhorse-prompter .opencode/skills/happyhorse-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 "happyhorse-prompter" agent skill from https://github.com/cclank/lanshu-awesome-ai-video-kit/tree/main/skills/happyhorse-prompter into .opencode/skills/happyhorse-prompter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "happyhorse-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
happyhorse-prompter- GitHub stars
- 415
- Token cost
- ~1.1k tokens
- SKILL.md length
- 326 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Works in 3 steps: [ ] prompt 内部是否出现"N 秒" / "Ns" / "持续 N… → [ ] 如果出现,它是不是在最开头作为时序锚点? → [ ] 如果不在最开头,搬到外部元数据行,prompt 内删掉。
- Tasks that involve AI video generation
- SKILL.md covers 何时不用此 skill, 五大黄金规则, 工作流程 and ⚠️ 时长写法硬规则(每次必查), plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Happyhorse Prompter is an agent skill from 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。
Its SKILL.md is about 1.1k 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
- “8s 时序节拍”
- “用 HappyHorse 生成视频”
- “做个 3-15 秒短片”
- “/happyhorse-prompter”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- [ ] prompt 内部是否出现"N 秒" / "Ns" / "持续 N 秒"等时长描述?
- [ ] 如果出现,它是不是在最开头作为时序锚点?
- [ ] 如果不在最开头,搬到外部元数据行,prompt 内删掉。
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
No URLs in SKILL.md.
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
Happyhorse Prompter loads about 1.1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 326 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). 326 words, ~1,111 tokens.
Download SKILL.mdSave it as
.claude/skills/happyhorse-prompter/SKILL.md (or your agent's skills folder).- name
- happyhorse-prompter
- description
- 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。
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
- 需要 10-15 秒长视频 / 多镜头切换 → 用 seedance-prompter 或 seedance-storyboard
- 复杂叙事 / 多主体 → 用 Seedance
- 已有提示词调不出来 → 还在 HappyHorse 范围内的话可以让我帮看，否则用 seedance-debugger
五大黄金规则
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
## 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):
- prompt 内部是否出现"N 秒" / "Ns" / "持续 N 秒"等时长描述?
- 如果出现,它是不是在最开头作为时序锚点?
- 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
- 进阶公式：methodology/02-进阶公式.md
- 运镜词典：methodology/05-运镜词典.md
- 57 条实测提示词：prompts/happyhorse/README.md
© 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/happyhorse-prompter of cclank/lanshu-awesome-ai-video-kit.
Open the folder on GitHubat commit f4c1bbd
Compare with similar skills
Happyhorse 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 |
|---|---|---|---|---|---|---|
| Happyhorse Prompter this skillcclank/lanshu-awesome-ai-video-kit | 415 | — | ~1.1k | 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 | 599 | — | ~3.5k | Automated safety check: Pass | MIT |
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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 Happyhorse Prompter
What does Happyhorse Prompter 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。. Happyhorse Prompter is an agent skill from cclank/lanshu-awesome-ai-video-kit.
When should I use Happyhorse Prompter?
Happyhorse Prompter fits situations like: tasks that involve AI video generation.
How do I install Happyhorse Prompter in Claude Code?
Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill happyhorse-prompter -a claude-code`. Or copy the skill folder (skills/happyhorse-prompter in cclank/lanshu-awesome-ai-video-kit) into .claude/skills/happyhorse-prompter in your project. Claude Code loads it when a task matches its description.
How do I install Happyhorse Prompter in Codex?
Run `npx skills add cclank/lanshu-awesome-ai-video-kit --skill happyhorse-prompter -a codex`. Or copy the skill folder (skills/happyhorse-prompter in cclank/lanshu-awesome-ai-video-kit) into .agents/skills/happyhorse-prompter in your project. Codex loads it when a task matches its description.
Can I use Happyhorse 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 happyhorse-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/happyhorse-prompter, .gemini/skills/happyhorse-prompter, .github/skills/happyhorse-prompter and .opencode/skills/happyhorse-prompter in your project.
What does Happyhorse Prompter need to run?
SKILL.md names no scripts, command-line tools or credentials: Happyhorse Prompter is instructions for the agent only.
Does Happyhorse Prompter access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Happyhorse 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 Happyhorse Prompter use?
Happyhorse 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 Happyhorse Prompter use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 Happyhorse Prompter?
Skills that share tags, products or a category with Happyhorse 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 Happyhorse Prompter?
cclank (a GitHub user) maintains it in cclank/lanshu-awesome-ai-video-kit, which has 415 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.