Analysis updated 2026-05-18
Let an AI agent trim and normalize raw video clips before feeding them to a renderer.
Generate an AI avatar clip through the HeyGen API as part of an automated video pipeline.
Add AI-generated voiceover and background images to a video project via ElevenLabs and Ideogram.
Browse and reuse community-made video assets through the included gallery UI.
| open-biz/assetflow-skill | 0xkinno/neuralvault | 0xmayurrr/ai-contractauditor | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | hard | easy |
| Complexity | 3/5 | 4/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires separate API keys for HeyGen, ElevenLabs, and Ideogram set in an environment file.
AssetFlow is an automated pipeline that helps AI agents handle video files without getting confused. The README describes the core problem clearly: when AI coding agents try to work with video programmatically, they tend to hallucinate incorrect file paths, struggle with timeline calculations, and crash video renderers by feeding them clips with inconsistent frame rates or resolutions. AssetFlow solves this by giving agents a defined set of scripts they can call to generate, fetch, trim, normalize, and measure media files in a predictable way. The workflow is built around HeyGen Hyperframes, a tool for assembling programmatic video. AssetFlow acts as the layer between raw, unedited clips and the Hyperframes renderer. An agent reads a SKILLS.md file that documents what each script does, then runs those scripts as needed: listing available local assets, generating an AI avatar clip via the HeyGen API, getting the exact duration of a video file, trimming a raw recording to a specific moment, and normalizing clips to a consistent resolution and frame rate before passing them to Hyperframes. It also integrates with ElevenLabs for premium voiceover generation and Ideogram for AI-generated image backgrounds, with each service requiring its own API key set in an environment file. The tech stack is Node.js with no complex frameworks for the core scripts, FFmpeg and FFprobe for video processing, and a separate Next.js and Tailwind CSS gallery UI for browsing community assets. It is written primarily in TypeScript and is designed to be installed into an existing AI agent project via a one-line curl script.
AssetFlow gives AI agents a defined set of scripts to generate, trim, and normalize video clips so they stop hallucinating file paths and crashing renderers.
Mainly TypeScript. The stack also includes Node.js, TypeScript, FFmpeg.
License terms are not stated in the provided text.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.