Alle Skills / BANKAI-SKILLS

bankai-skills/superpowers

remotion-render

Render videos from React/Remotion component code via inference.sh.

Quelltext ansehen

Verwendung

Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.

npx skills add https://github.com/bankai-skills/superpowers --skill remotion-render

Vor dem Start

Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.

Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Install the belt CLI skill: npx skills add belt-sh/cli

Remotion Render

Render videos from React/Remotion component code via inference.sh CLI.

Remotion Render

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash

belt login

# Render a simple animation
belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><h1 style={{color: \"white\", fontSize: 100, opacity: frame / 30}}>Hello World</h1></AbsoluteFill>; }",
  "duration_seconds": 3,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Input Schema

Parameter	Type	Required	Description
`code`	string	Yes	React component TSX code. Must export default a component.
`composition_id`	string	No	Composition ID to render
`props`	object	No	Props passed to the component
`width`	number	No	Video width in pixels
`height`	number	No	Video height in pixels
`fps`	number	No	Frames per second
`duration_seconds`	number	No	Video duration in seconds
`codec`	string	No	Output codec

Available Imports

Your TSX code can import from remotion and react:

tsx

// Remotion APIs
import {
  useCurrentFrame,
  useVideoConfig,
  spring,
  interpolate,
  AbsoluteFill,
  Sequence,
  Audio,
  Video,
  Img
} from "remotion";

// React
import React, { useState, useEffect } from "react";

Examples

Fade-In Text

bash

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill, interpolate } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const opacity = interpolate(frame, [0, 30], [0, 1]); return <AbsoluteFill style={{backgroundColor: \"#1a1a2e\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><h1 style={{color: \"#eee\", fontSize: 80, opacity}}>Welcome</h1></AbsoluteFill>; }",
  "duration_seconds": 2,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Animated Counter

bash

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, useVideoConfig, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const { fps, durationInFrames } = useVideoConfig(); const progress = Math.floor((frame / durationInFrames) * 100); return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\"}}><h1 style={{color: \"#fff\", fontSize: 200}}>{progress}%</h1><p style={{color: \"#666\", fontSize: 30}}>Loading...</p></AbsoluteFill>; }",
  "duration_seconds": 5,
  "fps": 60,
  "width": 1080,
  "height": 1080
}'

Spring Animation

bash

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, useVideoConfig, spring, AbsoluteFill } from \"remotion\"; export default function Main() { const frame = useCurrentFrame(); const { fps } = useVideoConfig(); const scale = spring({ frame, fps, config: { damping: 10, stiffness: 100 } }); return <AbsoluteFill style={{backgroundColor: \"#6366f1\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\"}}><div style={{width: 200, height: 200, backgroundColor: \"white\", borderRadius: 20, transform: `scale(${scale})`}} /></AbsoluteFill>; }",
  "duration_seconds": 2,
  "fps": 60,
  "width": 1080,
  "height": 1080
}'

With Props

bash

belt app run infsh/remotion-render --input '{
  "code": "import { AbsoluteFill } from \"remotion\"; export default function Main({ title, subtitle }) { return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\"}}><h1 style={{color: \"#fff\", fontSize: 80}}>{title}</h1><p style={{color: \"#888\", fontSize: 40}}>{subtitle}</p></AbsoluteFill>; }",
  "props": {"title": "My Video", "subtitle": "Created with Remotion"},
  "duration_seconds": 3,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Sequence Animation

bash

belt app run infsh/remotion-render --input '{
  "code": "import { useCurrentFrame, AbsoluteFill, Sequence, interpolate } from \"remotion\"; function FadeIn({ children }) { const frame = useCurrentFrame(); const opacity = interpolate(frame, [0, 20], [0, 1]); return <div style={{ opacity }}>{children}</div>; } export default function Main() { return <AbsoluteFill style={{backgroundColor: \"#000\", display: \"flex\", justifyContent: \"center\", alignItems: \"center\", flexDirection: \"column\", gap: 20}}><Sequence from={0}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>First</h1></FadeIn></Sequence><Sequence from={30}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>Second</h1></FadeIn></Sequence><Sequence from={60}><FadeIn><h1 style={{color: \"#fff\", fontSize: 60}}>Third</h1></FadeIn></Sequence></AbsoluteFill>; }",
  "duration_seconds": 4,
  "fps": 30,
  "width": 1920,
  "height": 1080
}'

Python SDK

python

from inferencesh import inference

client = inference()

result = client.run({
    "app": "infsh/remotion-render",
    "input": {
        "code": """
import { useCurrentFrame, AbsoluteFill, interpolate } from "remotion";

export default function Main() {
  const frame = useCurrentFrame();
  const opacity = interpolate(frame, [0, 30], [0, 1]);

  return (
    <AbsoluteFill style={{
      backgroundColor: "#1a1a2e",
      display: "flex",
      justifyContent: "center",
      alignItems: "center"
    }}>
      <h1 style={{ color: "#eee", fontSize: 80, opacity }}>
        Hello from Python
      </h1>
    </AbsoluteFill>
  );
}
""",
        "duration_seconds": 3,
        "fps": 30,
        "width": 1920,
        "height": 1080
    }
})

print(result["output"]["video"])

Streaming Progress

python

for update in client.run({
    "app": "infsh/remotion-render",
    "input": {
        "code": "...",
        "duration_seconds": 10
    }
}, stream=True):
    if update.get("progress"):
        print(f"Rendering: {update['progress']}%")
    if update.get("output"):
        print(f"Video: {update['output']['video']}")

Related Skills

bash

# Remotion best practices (component patterns)
npx skills add remotion-dev/skills@remotion-best-practices

# AI video generation (for AI-generated clips)
npx skills add inference-sh/skills@ai-video-generation

# Image generation (for video assets)
npx skills add inference-sh/skills@ai-image-generation

# Python SDK reference
npx skills add inference-sh/skills@python-sdk

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Documentation

Verwandte Aufgaben

aus demselben Repository

Weitere Skills

ai-avatar-video

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 di

Installationen: 387.143
GitHub Stars: 0
Aktualisiert: 31. Aug.

Skill-Details ansehen →

ai-image-generation

Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, st

Installationen: 387.193
GitHub Stars: 0
Aktualisiert: 31. Aug.

Skill-Details ansehen →

ai-video-generation

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text t

Installationen: 387.081
GitHub Stars: 0
Aktualisiert: 31. Aug.

Skill-Details ansehen →

twitter-automation

Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automa

Installationen: 387.074
GitHub Stars: 0
Aktualisiert: 31. Aug.

Skill-Details ansehen →