google-labs-code/remotion
Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays
Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays
npx skills add https://github.com/google-labs-code/stitch-skills/tree/main/skills/remotionGenerate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays
This repo contains 6 individual skills — each has its own dedicated page.
Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.
Unified entry point for Stitch design work. Handles prompt enhancement (UI/UX keywords, atmosphere), design system synthesis (.stitch/DESIGN.md), and high-fidelity screen generation/editing via Stitch MCP.
Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
Create media playback experiences using AVKit. Use when adding video players with AVPlayerViewController, enabling Picture-in-Picture, routing media with AirPlay, using SwiftUI VideoPlayer views, configuring transport controls, displaying subtitles and closed captions, or integrating AVFoundation playback with system UI.
🎥 Generate short videos from text prompts locally, ensuring privacy, simplicity, and no internet access required. Perfect for research and creative projects.
Generate production-ready cinematic video prompts for Higgsfield AI from reference images and project briefs.
Frame processing logic computing structural object trajectories inside continuous security video tracking systems.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc