ai-video-gen

What This Skill Does

The ai-video-gen skill provides an end-to-end orchestration layer for AI video production within the OpenClaw ecosystem. It bridges the gap between raw text prompts and finished multimedia assets by automating the integration of image generation models (DALL-E 3, Stable Diffusion), video synthesis engines (LumaAI, Runway, Replicate), voice-over synthesis (ElevenLabs, OpenAI), and professional video assembly using FFmpeg. Users can bypass the tedious process of manually syncing visual and audio layers, as the skill handles the entire pipeline, including frame rate management, narration timing, and scene transitions.

Installation

To integrate this skill into your environment, use the OpenClaw package manager: clawhub install openclaw/skills/skills/rhanbourinajd/ai-video-gen. Once installed, ensure you have FFmpeg configured on your system path. You must define your preferred API keys within your .env file, specifically selecting providers for image, video, and audio generation based on your project budget or quality requirements. The skill relies on standard Python packages including openai, pillow, and replicate to bridge these services.

Use Cases

This skill is designed for rapid content creation where consistency and speed are vital. Common use cases include: 1) Automated YouTube shorts or TikTok content creation from blog posts; 2) Generating placeholder prototypes for advertising concepts; 3) Batch processing of image sequences into professional-grade time-lapse or narrative animations; and 4) Developing personalized narrative media where changing audio and visuals are required on-the-fly.

Example Prompts

1. "Create a 10-second video about the history of space travel with a professional voice-over and transitions between the moon landing and modern Mars rovers."
2. "Generate a short video titled 'Morning Routine' using these three images, set to a 24fps frame rate, and add a cheerful narration about productivity."
3. "Make a high-quality video of a cyberpunk cityscape at night using Runway for the visuals and ElevenLabs for a gritty, cinematic voice-over."

Tips & Limitations

To optimize costs, leverage the 'Budget Mode' by utilizing local Stable Diffusion models and free-tier LumaAI credits. Always be mindful of API rate limits, especially when working with high-resolution generation tasks. While FFmpeg handles complex overlays, ensure your base imagery has a consistent aspect ratio to prevent unwanted cropping during the final render. Remember that the quality of your output is highly dependent on the specificity of your initial text prompts; providing detailed style descriptors (e.g., 'cinematic lighting', '4k resolution') significantly improves the final render output.