Happyhorse

Organization

101-skills

happyhorse

Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor

Overview

Publisher	101-skills
Repository	`superpowers`
Skill name	`happyhorse`
Stars	5
Forks	3
Bundled files	Instructions only
Links	Skill source Repository

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 101-skills on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/101-skills/superpowers/tree/main/tools/video/happyhorse
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.

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/101-skills/superpowers.git /tmp/superpowers
mkdir -p .claude/skills
cp -r /tmp/superpowers/tools/video/happyhorse .claude/skills/happyhorse

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Happyhorse 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 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 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.

Install the belt CLI skill: npx skills add belt-sh/cli

HappyHorse 1.0 Video Generation

Generate and edit physically realistic videos with Alibaba's HappyHorse 1.0 models via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

belt app run alibaba/happyhorse-1-0-t2v --input '{"prompt": "a horse galloping across a sunlit meadow"}'

HappyHorse Models

Model	App ID	Best For
T2V	`alibaba/happyhorse-1-0-t2v`	Text-to-video, physically realistic motion
I2V	`alibaba/happyhorse-1-0-i2v`	Animate a single image
R2V	`alibaba/happyhorse-1-0-r2v`	Preserve characters from up to 9 reference images
Video Edit	`alibaba/happyhorse-1-0-video-edit`	Edit existing videos with natural language

All models support 720P/1080P resolution, up to 15 seconds duration.

Examples

Text-to-Video

bash
belt app run alibaba/happyhorse-1-0-t2v --input '{
  "prompt": "a golden retriever running through autumn leaves in a park, slow motion",
  "duration": 10,
  "resolution": "1080P",
  "ratio": "16:9"
}'

Image-to-Video

Animate a still image:

bash
belt app run alibaba/happyhorse-1-0-i2v --input '{
  "first_frame": "https://your-image.jpg",
  "prompt": "gentle camera zoom, clouds moving in the sky",
  "duration": 8,
  "resolution": "720P"
}'

Reference-to-Video (Character Preservation)

Generate videos that preserve characters from reference images (up to 9):

bash
belt app run alibaba/happyhorse-1-0-r2v --input '{
  "prompt": "a woman walking through a busy market street",
  "reference_images": ["https://portrait.jpg"],
  "duration": 10,
  "resolution": "720P"
}'

Multi-Character Reference

bash
belt app run alibaba/happyhorse-1-0-r2v --input '{
  "prompt": "two friends sitting at a cafe having coffee",
  "reference_images": ["https://person1.jpg", "https://person2.jpg"],
  "ratio": "16:9"
}'

Video Editing

Edit existing videos using natural language instructions:

bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "change the background to a snowy mountain landscape"
}'

Video Editing with Reference Images

bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "replace the person with the character from the reference image",
  "reference_images": ["https://character.jpg"]
}'

Video Editing with Audio Control

bash
belt app run alibaba/happyhorse-1-0-video-edit --input '{
  "video": "https://your-video.mp4",
  "prompt": "make the scene look like a rainy day",
  "audio_setting": "generate"
}'

Pricing

Resolution	Price
720P	$0.14 per second
1080P	$0.24 per second

Video Edit is billed on input + output duration.

Parameters (T2V)

Parameter	Type	Default	Description
`prompt`	string	required	Text description of the video
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`ratio`	enum	16:9	16:9, 9:16, 1:1, 4:3, 3:4, 21:9
`seed`	integer	random	Reproducible generation
`watermark`	boolean	false	Add HappyHorse watermark

Parameters (I2V)

Parameter	Type	Default	Description
`first_frame`	file	required	First frame image (JPEG, PNG, WebP)
`prompt`	string	-	Optional text description
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`seed`	integer	random	Reproducible generation

Parameters (R2V)

Parameter	Type	Default	Description
`prompt`	string	required	Text description of the scene
`reference_images`	array	required	Up to 9 character reference images
`duration`	integer	5	Duration in seconds (3–15)
`resolution`	enum	720P	720P or 1080P
`ratio`	enum	16:9	16:9, 9:16, 1:1, 4:3, 3:4, 21:9
`seed`	integer	random	Reproducible generation

Parameters (Video Edit)

Parameter	Type	Default	Description
`video`	file	required	Video to edit (MP4/MOV, H.264)
`prompt`	string	required	Editing instruction
`reference_images`	array	-	Up to 5 reference images
`audio_setting`	enum	auto	auto, generate, or keep_original
`resolution`	enum	720P	720P or 1080P
`seed`	integer	random	Reproducible generation

Search HappyHorse Apps

bash
belt app search "happyhorse"

Related Skills

bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All video generation models
npx skills add inference-sh/skills@ai-video-generation

# Seedance 2.0
npx skills add inference-sh/skills@seedance

# Google Veo
npx skills add inference-sh/skills@google-veo

# Image generation (for image-to-video)
npx skills add inference-sh/skills@ai-image-generation

Browse all video apps: belt app list --category video

Documentation

Running Apps - How to run apps via CLI
Streaming Results - Real-time progress updates
Content Pipeline Example - Building media workflows

Frequently asked questions

What does the Happyhorse AI skill do?

Why use Happyhorse on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/101-skills/superpowers/tree/main/tools/video/happyhorse. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Happyhorse?

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?

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

Is the Happyhorse AI skill free?

It is published on GitHub by 101-skills. 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

HappyHorse 1.0 Video Generation

Quick Start

HappyHorse Models

Examples

Text-to-Video

Image-to-Video

Reference-to-Video (Character Preservation)

Multi-Character Reference

Video Editing

Video Editing with Reference Images

Video Editing with Audio Control

Pricing

Parameters (T2V)

Parameters (I2V)

Parameters (R2V)

Parameters (Video Edit)

Search HappyHorse Apps

Related Skills

Documentation

Frequently asked questions

Related AI Skills

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