A comprehensive technical framework for producing professional AI-generated explainer videos from script to final cut using CLI automation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install explainer-video-guide
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install explainer-video-guide 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 Explainer Video Guide?
The Explainer Video Guide is a specialized resource within the Openclaw Skills library designed to streamline the end-to-end production of digital video assets. It provides developers and content creators with a structured methodology for generating scripts, high-fidelity visuals, and lifelike voiceovers using the inference.sh ecosystem. By utilizing this skill, users can bypass traditional, time-consuming video editing workflows in favor of an automated, prompt-driven pipeline.
This skill integrates complex script formulas such as Problem-Agitate-Solve (PAS) and Before-After-Bridge (BAB) with advanced AI models to ensure that every video is optimized for viewer retention and conversion. Whether you are building product demos or social media content, leveraging Openclaw Skills for video production ensures a professional aesthetic with minimal manual overhead.
Explainer Video Guide Use Cases
- Creating high-conversion product demos for landing pages.
- Generating short-form social media teasers for platforms like TikTok and Instagram.
- Building educational tutorials and help center walkthroughs.
- Developing investor pitch videos and corporate presentations.
- Automating the creation of multi-language onboarding videos.
How Explainer Video Guide Works
- Select a proven script formula (PAS, BAB, or Feature Spotlight) based on the target video duration.
- Utilize Text-to-Speech (TTS) models to generate professional narration with specific pacing and emphasis controls.
- Generate visual scenes in parallel using text-to-video or image-to-video models for consistent art styles.
- Merge generated media components, including background music and voiceover tracks, into a single sequence.
- Apply automated captioning and transitions to finalize the video for distribution.
Explainer Video Guide Setup
To begin using this video production workflow, ensure you have the necessary CLI tools installed and authenticated:
curl -fsSL https://cli.inference.sh | sh && infsh login
# Add necessary video and speech capabilities
npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@text-to-speech
Explainer Video Guide Data Schema & Taxonomy
The skill manages video production data through a structured pipeline of media assets and metadata:
| Data Component | Format | Description |
|---|---|---|
| Script Assets | Markdown | Structured content based on PAS or BAB formulas |
| Voiceover | MP3/WAV | Narration files generated with specific WPM pacing |
| Visual Scenes | MP4 | Individual video segments generated via AI models |
| Final Export | MP4 | The assembled video file with merged audio and captions |
| Subtitles | SRT | Automated captions generated for silent-viewing optimization |
Explainer Video Guide Advanced Features
- Multi-agent support for parallel scene generation to reduce total production time.
- Advanced TTS pacing control using punctuation markers for natural-sounding narration.
- Seamless Image-to-Video (I2V) transitions to maintain visual consistency across scenes.
- Integrated media merging tools for programmatic assembly of audio, video, and text overlays.
- Compatibility with the broader Openclaw Skills ecosystem for automated content distribution.
SKILL.md
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