stitch-skills 是做什麼的？
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
stitch-skills is a Claude Code agent skill that 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.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
Use when you have a spec or requirements for a multi-step task, before touching code