Hackathon Showcase
Finalist
abra
Project Description
The goal: take a vid at an event, throw it you your abra agent, it will cut it in shape, enhance it, add branding, music and even gifs and finally schedule it for publication. A fully automatized brand agent.
Technical goal: make use of local resources (GPU particularly for video editing and generation):
- preset that can be installed on top of any openclaw-like agent
- brand skill gather brand information and assets + post-scheduler facilitate posting using buffer
- 16+ skills handling media transformation and generation
- skills build as isolated services for easy expansion and customization
- high level workflow scripts enable controlled processing to reduce AI indeterminism
| Skill | Input | What it does | Min VRAM | CPU ok? |
|---|---|---|---|---|
| photo-picker | images | Score and pick the best photos | ~1 GB | ✅ fast |
| bokeh-effect | images | Synthetic bokeh / portrait mode | ~1.5 GB | ✅ acceptable |
| background-remover | images | Remove background | ~0.5 GB | ✅ acceptable |
| image-captioner | images | Auto-describe and caption | ~4 GB | ✅ slow |
| frame-interpolator | videos | Frame interpolation | ~2 GB | ⚠️ impractical |
| video-matte | videos | Remove video background | ~3 GB | ❌ no |
| audio-splitter | video/audio | Separate vocals from music | ~2 GB | ✅ slow |
| music-generator | prompt/video | Generate music | ~3 GB | ✅ very slow |
| animate-image | images | Image → video clip | ~8 GB | ❌ no |
| video-editor | video | Edit/inpaint video | ~8 GB | ❌ no |
| giphy | videos | Animated GIF stickers from GIPHY + optional SFX | 0 GB | ✅ instant |
| freesound | videos | Freesound SFX into video + optional GIF overlays | 0 GB | ✅ instant |
| pixabay | videos | Royalty-free image/video overlays + optional SFX | 0 GB | ✅ instant |
| video-enhancer | videos | Sharpen, colour grade, normalise audio | 0 GB | ✅ fast |
| video-captioner | videos | Whisper transcription + animated captions | 0 GB | ✅ ~30s/clip |
Prior Work
Based on claw-parade repo (similar setup, ~10 skills, no workflows, no automated installation) developed during the first OpenClaw hackathon with AI tinkerers in Paris.
Team
Products & Tools
Huggingface
NVIDIA
OpenClaw
pytorch