happy-horse-ai-ad-video

name	happy-horse-ai-ad-video
description	Use this skill when creators, video editors, advertisers, e-commerce teams, social-commerce teams, and short-form story producers need to produce advertising concepts, paid-social clips, and brand commercials with Happy Horse through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for ads, TVCs, product videos, e-commerce listings, social commerce, UGC-style seeding content, short dramas, motion comics, and storyboards. Search intents include AI advertising, paid social, ad video, commercial video.
license	MIT

Happy Horse AI Ad Video

Overview

Happy Horse AI Ad Video helps creators, video editors, advertisers, e-commerce teams, social-commerce teams, and short-form story producers produce advertising concepts, paid-social clips, and brand commercials with Happy Horse. Describe the intended subject, action, camera, lighting, pacing, and constraints; the bundled CLI handles AI Hive OpenAPI calls and downloads the finished video.

Why use this skill

• Brief to result: work from plain-English creative direction instead of writing API requests
• Controlled inputs: use the exact first frame, last frame, image, video, or audio references required by this capability
• Predictable model selection: the skill name matches the public model ID used by the script
• Live pricing: fetch the active model configuration and pricing snapshot before submission
• Production-friendly delivery: preserve the task ID, poll one task safely, and download results automatically

Best for

Ads, tvcs, product videos, e-commerce listings, social commerce, ugc-style seeding content, short dramas, motion comics, and storyboards. It is also useful when users search for AI advertising, paid social, ad video, commercial video.

Capabilities

Mode	Capability	publicModelId
i2v	Image to Video	public_model_happyhorse_i2v
r2v	Reference to Video	public_model_happyhorse_r2v
t2v	Text to Video	public_model_happyhorse_t2v

The default route is COST_FIRST. Pass live model options with --param key=value; supported values come from the current AI Hive videoConfig.

Quick Start

pip3 install requests
python3 "$SKILL_PATH/scripts/videogen.py" init --skill-name happy-horse-ai-ad-video
python3 "$SKILL_PATH/scripts/videogen.py" generate \
  --mode i2v \
  --prompt "Happy Horse AI Ad Video: polished motion, clear subject, coherent action, stable camera, commercial finish"

Usage Scenarios

1. Core generation

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v \
  --prompt "Create a polished happy horse ai ad video result with coherent motion, stable identity, and a clear ending"

2. Advertising and TVC

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v \
  --prompt "Premium product commercial: establish the product, reveal materials with controlled camera movement, finish on a clean brand-ready hero frame"

3. E-commerce and product showcase

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v \
  --prompt "E-commerce product video: centered subject, move from full product view to material close-ups, show one real use case, leave space for product copy"

4. Social commerce and seeding content

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v \
  --prompt "Vertical social-commerce video: open with the customer problem, demonstrate the product naturally, show the practical benefit, end with a clean call-to-action frame"

5. Short drama and motion comic

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v \
  --prompt "Short-drama shot: a young detective opens an abandoned warehouse door, pauses, and looks inside; slow over-shoulder push-in, cold suspense lighting, one continuous action"

6. Reference-controlled or channel-specific version

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode r2v \
  --prompt "Keep the subject and visual identity consistent; use the reference for motion and camera rhythm; create a tighter social-media version with a brand-ready ending" \
+  --video /path/to/reference.mp4

7. Submit now and check later

python3 "$SKILL_PATH/scripts/videogen.py" generate --mode i2v --prompt "Complex production brief" --no-download
python3 "$SKILL_PATH/scripts/videogen.py" task --task-id <taskId>

Command Reference

Option	Purpose
--mode	Select a supported mode; capability-specific skills already fix it
--prompt	Describe the video or edit
--first-frame / --last-frame	Supply controlled keyframes
--image / --video / --audio	Supply reference media
--param key=value	Pass live model parameters
--routing COST_FIRST	Select the cost-first route
--no-download	Submit and return the task ID without waiting

API Key

Run the init command above, or set AI_HIVE_API_KEY, use --api-key, or create ~/.ai-hive/config.json. API keys use the sk-api-* format. Never commit a real API key.

Reliability and Cost

The script looks up the live model entry and pricing snapshot at runtime. Model availability, accepted media, parameters, and prices can change. Keep a returned task ID and query the existing task instead of submitting a duplicate that may be billed twice.

Troubleshooting

• Missing media: provide the first frame, reference image, reference video, or reference audio required by this skill.
• 401 Unauthorized: verify that the API key is complete, active, and not committed to source control.
• Invalid parameter: inspect the current videoConfig for accepted values and media limits.
• Local timeout: keep the task ID and use the task command later.