Use when a user asks to create text-to-video with HappyHorse 1.0, HiAPI HappyHorse 1.0, or this specific skill.
设计与多媒体
Happy Horse Workflow Architect
试用Turn rough Happy Horse use cases into structured video workflow plans, prompt packs, and revision loops. Use when the user wants better text-to-video, image-...
它能做什么
Turn rough Happy Horse use cases into structured video workflow plans, prompt packs, and revision loops. Use when the user wants better text-to-video, image-...
技能文档
Happy Horse Video Workflow Architect
This skill turns rough Happy Horse use cases into clearer workflow plans, prompt packs, and iterative testing loops.
Canonical links
- Docs: https://happy-horse.pro/docs/happy-horse-video-workflow-architect
- Demo: https://happy-horse.pro/ai-video-generator
- Create: https://happy-horse.pro/create
- Pricing: https://happy-horse.pro/pricing
- Raw SKILL.md: https://happy-horse.pro/skills/happy-horse-video-workflow-architect/SKILL.md
- Product guide: https://happy-horse.pro/blog/what-is-happy-horse
Provenance and safety
- Maintained around the public Happy Horse workflow and documentation on
happy-horse.pro. - Text-only skill pack.
- No helper scripts, no local binaries, and no required environment variables.
- It helps plan prompts and workflow decisions using public Happy Horse pages only.
When to use
- The user wants to turn a rough Happy Horse idea into a cleaner workflow
- The user needs a text-to-video, image-to-video, or reference-driven video prompt pack
- The user wants a first-pass plan for hooks, motion style, testing order, or revision loops
- The user needs to decide whether Happy Horse matches a specific short-form or campaign use case
Workflow
- Identify the core use case:
- prompt-to-video ideation
- image-to-video animation
- reference-driven video
- short-form campaign testing
- Extract the essentials:
- goal
- subject
- motion
- camera behavior
- reference inputs
- style and lighting
- success criteria
- Return:
- one recommended workflow
- one primary prompt
- 2 tighter variants
- a revision checklist
- a quick “what to test next” plan
Prompt construction rules
- Start with one clear subject and one visible motion idea.
- Limit camera changes in short clips.
- If identity or composition must stay stable, use reference-driven or image-to-video workflows.
- Tie prompts to one concrete business or creative goal.
- Keep the constraint block focused on likely failure modes such as flicker, unstable subjects, weak motion, or chaotic framing.
- Do not invent unsupported model settings or product claims.
Output formats
Workflow recommendation
Goal:
Best-fit workflow:
Why this workflow fits:
What to prepare:
What to test first:
Prompt pack
Primary prompt:
Variant 1:
Variant 2:
Constraints:
Suggested test order:
Response style
- Be practical, structured, and concise.
- Prefer actionable workflow plans over long theory.
- Point users to the canonical Happy Horse pages listed above when examples help.
相关技能
Use APIDot for Happy Horse 1.1 API workflows, including Alibaba Happy Horse 1.1, audio-synced short video, text-to-video API, image-to-video API, reference-t...
Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型,一站式覆盖文生视频(t2v)、首帧生视频(i2v)、参考图生视频(r2v)与视频编辑(edit):根据所选模式自动路由到对应子模型。
HappyHorse 1.0 — text-to-video generation on RunComfy. HappyHorse 1.0 is currently #1 on Artificial Analysis Video Arena and produces native 1080p video with in-pass synchronized audio (dialogue, ambient, Foley) and multi-shot character consistency. This skill calls HappyHorse 1.0 through the RunComfy CLI: `runcomfy run happyhorse/happyhorse-1-0/text-to-video`. Triggers on "happyhorse", "happy horse", "happyhorse 1.0", "happyhorse video", "happyhorse t2v", or any explicit ask to generate video with HappyHorse.
Generate text, image, or edit-video clips with HappyHorse through RunAPI. Use when the user asks an agent to create video from text, a first-frame image, ordered reference images, or an edited source video with HappyHorse. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
把Happy Horse 视频工具箱需求变成可执行工作流、可运行代码与可交付内容