ai-video-denoiser
Tell me what you need and I'll help you clean up noisy, grainy, or visually degraded video footage using ai-video-denoiser. Whether you shot in low light, used a high ISO setting, or recorded with a budget camera, this skill analyzes your footage and guides you through removing visual noise, compression artifacts, and grain — without washing out detail or softening important edges. Built for filmmakers, content creators, and video editors who need cleaner results fast.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/ai-video-denoiserGetting Started
Welcome to AI Video Denoiser — your go-to tool for removing grain, noise, and compression artifacts from video footage. Share your footage details or describe your noise problem and let's get your video looking clean and professional.
Try saying:
- "Remove grain from low-light footage"
- "Fix compression artifacts in my clip"
- "Denoise without losing sharp details"
First-Time Connection
When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").
Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.
- Obtain a free token: Generate a random UUID as client identifier. POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith headerX-Client-Idset to that UUID. The responsedata.tokenis your NEMO_TOKEN — 100 free credits, valid 7 days. - Create a session: POST to
https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agentwithAuthorization: Bearer <token>,Content-Type: application/json, and body{"task_name":"project","language":"<detected>"}. Store the returnedsession_idfor all subsequent requests.
Keep setup communication brief. Don't display raw API responses or token values to the user.
Clean Footage, Zero Grain — Restore Every Frame
Noisy video is one of the most frustrating problems in post-production. Whether it crept in from a dark shooting environment, an older camera sensor, or heavy compression from a streaming platform, grain and noise can make otherwise great footage look unprofessional. The AI Video Denoiser skill is designed to help you tackle this problem directly — without needing a film school background or an expensive suite of plugins.
This skill walks you through identifying the type of noise in your video (luminance, chroma, or compression artifacts), choosing the right denoising approach for your footage type, and applying settings that preserve fine detail like hair, textures, and skin tones. It's not a one-size-fits-all filter — it's a guided process tailored to your specific clip.
Content creators uploading to YouTube, indie filmmakers working with mirrorless cameras, and archivists restoring old recordings all face different noise challenges. This skill speaks to all of them, offering practical, footage-specific guidance that gets your video looking sharp, clean, and ready for delivery.
Routing Denoising Requests Intelligently
Each request — whether targeting temporal noise, chroma grain, compression artifacts, or luminance flickering — is parsed and routed to the appropriate denoising pipeline based on detected footage characteristics and user-specified parameters.
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-ai-video-denoiser": {
"enabled": true,
"auto_update": true
}
}
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