Cake Decor Video for Openclaw

An AI-powered skill for generating satisfying, high-aesthetic vertical videos of cake decorating, piping, and pastry finishing.

zoucdr
v0.1.0
Mar 21, 2026
0
825
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install cake-decor-video

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install cake-decor-video using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Cake Decor Video?

Cake Decor Video is a specialized tool within the Openclaw Skills ecosystem designed to create professional-grade vertical short videos focused on the dessert niche. It leverages the WeryAI API to transform simple briefs into high-quality visual sequences featuring buttercream roses, mirror glazes, and anthropomorphic characters baking. The skill excels at capturing the tactile satisfaction of pastry arts, such as smooth spatula passes and intricate piping details.

This skill is engineered for creators and marketers who need consistent, high-aesthetic content for platforms like TikTok and Instagram Reels. By automating the prompt expansion process, it ensures that every video includes the necessary camera angles, lighting quality, and professional pacing required for viral dessert content.

Cake Decor Video Use Cases

  • Creating satisfying social media reels for bakery and pastry shop marketing.
  • Generating aesthetic handmade baking content featuring cute anthropomorphic animals.
  • Producing close-up texture videos of frosting, glazing, and piping for food photography enthusiasts.
  • Developing placeholder high-fidelity video assets for culinary tutorials and digital marketing campaigns.

How Cake Decor Video Works

  1. The user provides a brief intent, such as a character type, theme, or specific decorating style.
  2. The skill automatically expands the user's brief into a detailed, technical English production prompt including lighting, camera moves, and pacing.
  3. Users choose a processing tier (best, good, or fast) which maps to specific models like KLING_V3_0_PRO or VEO_3_1_FAST.
  4. A pre-submission table is presented to the user for explicit confirmation of parameters like aspect ratio, duration, and the expanded prompt.
  5. Upon confirmation, the skill executes a Node.js script to call the WeryAI API and polls for task completion.
  6. The skill parses the API response and returns playable video URLs to the user.

Cake Decor Video Setup

To use this skill, ensure you have Node.js 18+ installed and an active WeryAI API key. Configure your environment as follows:

# Set your mandatory API key
export WERYAI_API_KEY='your_secret_key_here'

# Optional: Override base URLs for testing
export WERYAI_BASE_URL='https://api.weryai.com'

Place the video_gen.js script in the scripts/ directory relative to the SKILL.md file.

Cake Decor Video Data Schema & Taxonomy

The skill manages video tasks through a JSON-based CLI interface. Below are the primary data fields used during generation:

Field Description Constraints
model The AI model used for generation e.g., KLING_V3_0_PRO, VEO_3_1_FAST
prompt The expanded descriptive text Must follow prompt length limits
aspect_ratio The frame dimensions Default 9:16 (vertical)
duration Length of the video in seconds 5, 10, 15 (Model dependent)
image_url Source image for image-to-video Must be a public HTTPS URL

Cake Decor Video Advanced Features

  • Automated Prompt Expansion: Transforms one-line briefs into multi-beat production scripts without manual user effort.
  • Tier-Based Processing: Supports multiple AI models (KLING and VEO) to balance quality and generation speed.
  • Seamless Looping: Advanced users can trigger a "loop" command to generate videos with perfect seams for continuous playback.
  • Multi-Model Support: Context-aware parameter validation ensures duration and resolution fields match the specific requirements of the selected model.

SKILL.md


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