Anime Drama Pipeline for Openclaw

An automated workflow that transforms raw novel text into vertical anime short films using AI-driven storyboarding and video synthesis.

ricksf
v1.0.0
Mar 21, 2026
0
921
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install anime-drama

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 anime-drama 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 Anime Drama Pipeline?

The Anime Drama Pipeline is a sophisticated entry in the Openclaw Skills library designed for creators and developers who want to automate the production of anime-style short dramas. By processing raw story text, the skill orchestrates a multi-stage workflow that handles everything from scene segmentation to final video encoding. It leverages high-performance AI models for text-to-image and image-to-video generation, ensuring each narrative beat is captured visually.

Built for the modern social media landscape, this Openclaw Skills asset focuses on high-quality 9:16 vertical video output. It integrates deeply with external AI services and local processing tools like ffmpeg to provide a seamless bridge between static text and dynamic cinematic content, significantly reducing the manual labor involved in video editing and asset creation.

Anime Drama Pipeline Use Cases

  • Automatically converting web novels into promotional anime short clips for social media.
  • Rapid prototyping for animation storyboards and visual development.
  • Generating consistent 9:16 vertical content for platforms like TikTok, Reels, or YouTube Shorts.
  • Scaling content production for creators managing multiple fiction-based channels.

How Anime Drama Pipeline Works

  1. The system analyzes the input novel text and splits it into logical scenes or shots based on paragraph breaks.
  2. Each shot is sent to a text-to-image AI engine (RunningHub) using specific AppIDs to generate high-quality anime frames.
  3. Generated images are uploaded to a video synthesis AI to create 5-second motion clips for every scene.
  4. Local processing scripts track progress to ensure that already-generated assets are not duplicated if the process is interrupted.
  5. ffmpeg aggregates all individual video segments, applying scaling and padding to ensure a consistent 1080x1920 vertical format.
  6. A final MP4 file is produced, ready for distribution.

Anime Drama Pipeline Setup

To get started with this Openclaw Skills component, ensure you have the required dependencies and environment variables configured.

# Install system dependencies
sudo apt-get install python3 curl ffmpeg

# Configure your RunningHub API Key
export RUNNINGHUB_API_KEY="your_api_key_here"

# Run the pipeline script
python3 scripts/anime_drama_pipeline.py <novel_text_file> [output_directory]

Anime Drama Pipeline Data Schema & Taxonomy

The skill organizes data systematically to allow for resumption and easy management of assets:

File Type Format Details
Images PNG Approximately 1.7-2.0MB per frame; stored per shot ID.
Video Clips MP4 H.264 + AAC encoding; default 5 seconds per clip.
Final Output MP4 1080x1920 (9:16) resolution with black padding if necessary.
Metadata JSON/Txt Tracks shot descriptions and processing status.

Anime Drama Pipeline Advanced Features

  • Breakpoint Resumption: Automatically skips already generated shots if the pipeline is restarted after an interruption.
  • Smart Storyboarding: Supports LLM integration to optimize shot descriptions and prompts for better visual consistency.
  • Automated Aspect Ratio Handling: Uses advanced ffmpeg filters to convert 16:9 source generations into 9:16 vertical frames with smart padding.
  • Parallel Execution: Optimized for concurrent API calls to speed up the image and video generation phases.

SKILL.md


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