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- Yuniorglez
- Gemini Elite Core
- Remotion Expert
remotion-expert_skill
- Python
7
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill yuniorglez/gemini-elite-core --skill remotion-expert- SKILL.md5.4 KB
Overview
This skill is a senior-level Remotion expert focused on Remotion v4.0+, React 19, and Next.js 16 for high-performance programmatic video generation. It delivers frame-perfect animation patterns, deterministic rendering rules, and AI-driven workflows for 2026 production environments. The skill emphasizes predictable renders, data-driven compositions, and optimized pipelines for fast, reliable output.
How this skill works
It inspects and enforces frame-based animation patterns using useCurrentFrame, interpolate, and spring to guarantee deterministic results. It validates common anti-patterns (CSS animations, Math.random, timers) and recommends asset handling, Zod validation for props, and precomputed metadata. It also provides patterns for integrating instruction-driven AI updates to transform LLM outputs into Remotion composition props and rendering metadata.
When to use it
- Building programmatic videos that require frame-perfect timing and repeatable renders
- Creating data-driven or personalized videos where props and duration depend on external APIs
- Migrating or upgrading projects to Remotion v4+, React 19, and Next.js 16 stacks
- Automating video pipelines with AI-driven editing instructions or metadata calculation
- Optimizing CI/CD rendering for deterministic output and fast dependency installs (bun)
Best practices
- Derive all animation state from frame; avoid useState for progress and never use CSS keyframes or transitions
- Seed or eliminate nondeterministic APIs (Math.random, Date.now) inside components
- Use Zod to validate composition defaultProps and shape runtime props before rendering
- Preload assets with staticFile and ensure remote assets are accessible during render
- Compute duration and props before rendering compositions; avoid heavy per-frame computation without useMemo
Example use cases
- Generate personalized marketing videos where text, durations, and assets are fetched and injected at render time
- Produce sub-frame-accurate motion graphics using interpolate and custom easing curves
- Create instruction-driven edits: map natural language LLM outputs to composition props for autonomous video updates
- Run deterministic batch renders in CI with Bun for minimal install time and consistent output
- Integrate with Next.js 16 server actions to compute metadata and trigger server-side renders
FAQ
No. CSS animations and window.requestAnimationFrame are not deterministic for Remotion rendering. Use interpolate(), spring(), and frame-based math instead.
How do I ensure remote assets are available at render time?
Use staticFile for local assets and validate reachability for remote URLs beforehand. Pre-fetch or host assets in stable storage to avoid render failures.