video-cog

What This Skill Does

Video Cog (powered by CellCog) represents the cutting edge of autonomous media production within the OpenClaw ecosystem. By orchestrating a sophisticated pipeline of 6-7 foundation models, this skill transforms a single, high-level text prompt into a fully realized video production of up to four minutes. The orchestration engine handles script writing, visual scene generation, synthetic voiceover recording, precise lip-syncing, thematic music scoring, and professional-grade automated editing. This eliminates the need for manual video production workflows, enabling users to generate polished content—from marketing collateral to long-form educational explainers—at unprecedented speeds.

Installation

To utilize this skill, you must first have the base CellCog integration configured. Install the package directly via the terminal:

clawhub install openclaw/skills/skills/nitishgargiitd/video-cog

Ensure you have the necessary environment variables set for your CellCog API credentials as detailed in the core documentation. The video-cog skill leverages the asynchronous daemon pattern, meaning it processes your request in the background and notifies you via your specified agent key upon completion.

Use Cases

• Marketing & Growth: Rapid creation of product launch videos, social media ads, and brand story narratives.
• B2B & SaaS: Automated production of platform walkthroughs, feature tours, and complex software onboarding explainers.
• Education & Training: Generation of instructional tutorials, historical summaries, and internal corporate training modules.
• Content Creation: Producing documentary-style mini-features and informative news reports for digital channels.

Example Prompts

1. "Create a 60-second product demo video for our new project management dashboard highlighting the automated workflow feature."
2. "Generate a 3-minute documentary-style explainer video about the historical impact of the industrial revolution on modern urban planning."
3. "Make a 15-second high-energy Instagram advertisement for our upcoming AI-powered fitness app launch."

Tips & Limitations

• Asynchronous Workflow: Do not attempt to poll the API manually. The skill uses a fire-and-forget pattern; wait for the notification to your agent session key to ensure the video is fully rendered and ready for download.
• Prompt Engineering: Since the video relies on foundation model generation, provide specific stylistic guidance (e.g., 'cinematic lighting', 'professional voiceover') to ensure high-quality, consistent results.
• Complexity: Complex narratives exceeding 3 minutes may require more detailed prompt segments to ensure the multi-agent coordination remains aligned throughout the timeline.