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Convert a video file into multiple GIF variants with different parameters, so the user can visually compare and pick the best one.

Best practices for writing effective AI video generation prompts via inference.sh.

转录 → 纠错 → 审核 → 匹配 → 烧录

Use this skill to build from live Remotion Bits examples first, then fall back to primitives only when the examples are not enough.

Generates animation configuration documents that define spring behaviors, interpolation mappings, easing curves, and timing constants for Remotion videos. This skill focuses exclusively on animation parameters and does NOT generate component code.

Optimize blurred video exports for YouTube, TikTok, Instagram, LinkedIn, and web delivery. Covers codec settings, aspect ratios, bitrate targets, and platform upload specs after BGBlur processing. Use when user mentions export settings, social media video, platform upload, bitrate, H.264, WebM, vertical video, Reels, Shorts, or publishing blurred videos.

Privacy-first video blur workflows for faces, license plates, and sensitive objects. Covers GDPR/CCPA compliance, anonymization vs blur, motion-tracked redaction, and when to use each BGBlur mode. Use when user mentions face blur, face anonymization, license plate blur, privacy redaction, GDPR video compliance, PII removal, dashcam privacy, or anonymizing footage before publishing.

Quality assurance for AI-blurred videos — detect mask bleeding, temporal flicker, missed detections, edge halos, and motion-tracking failures. Use when user mentions blur quality, QA review, mask artifacts, flickering blur, missed faces, plate tracking failure, blur edge halo, or validating BGBlur output before delivery.

Pre-process videos with FFmpeg before blur pipelines — format conversion, trimming, resolution normalization, metadata stripping, and frame-rate standardization. Use when user mentions ffmpeg, video conversion, trim video, normalize format, strip metadata, prepare video for upload, MP4/MOV/MKV conversion, or pre-processing before BGBlur.

Integrate BGBlur blur APIs into apps and pipelines — face blur, license plate blur, NSFW detection for images and video. Covers REST API patterns, batch processing, webhook delivery, and SDK usage. Use when user mentions BGBlur API, blur API integration, face blur API, license plate API, video blur SDK, embed blur in app, or programmatic blur processing.