video-production

supercent-io/skills-template · updated May 30, 2026

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$npx skills add https://github.com/supercent-io/skills-template --skill video-production
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summary

Programmable video production with Remotion, scene planning, asset orchestration, and validation gates for brand-consistent automated content.

  • Generates videos from text instructions through a structured five-step workflow: spec definition, scene outlining, asset preparation, Remotion composition implementation, and QA rendering
  • Supports multiple aspect ratios (16:9, 1:1, 9:16) and video lengths (30s–90s) with configurable tone, narration style, and language
  • Includes scene templates,
skill.md

Remotion Video Production

Programmable video production skill using Remotion. Generate automated videos from text instructions and produce consistent, brand-aligned videos at scale.

When to use this skill

  • Automated video generation: Generate videos from text instructions
  • Brand video production: High-volume videos with consistent style
  • Programmable content: Combine narration, visuals, and animation
  • Marketing content: Product intros, onboarding, promo videos

Instructions

Step 1: Define the Video Spec

video_spec:
  audience: [target audience]
  goal: [video objective]
  duration: [total length - 30s, 60s, 90s]
  aspect_ratio: "16:9" | "1:1" | "9:16"
  tone: "fast" | "calm" | "cinematic"
  voice:
    style: [narration style]
    language: [language]

Step 2: Outline Scenes

Scene structuring template:

## Scene Plan

### Scene 1: Hook (0:00 - 0:05)
- **Visual**: Product logo fade-in
- **Audio**: Upbeat intro
- **Text**: "Transform Your Workflow"
- **Transition**: Fade → Scene 2

### Scene 2: Problem (0:05 - 0:15)
- **Visual**: Problem-state illustration
- **Audio**: Narration starts
- **Text**: Key message overlay
- **Transition**: Slide left

### Scene 3: Solution (0:15 - 0:30)
...

Step 3: Prepare Assets

# Asset checklist
assets/
├── logos/
│   ├── logo-main.svg
│   └── logo-white.svg
├── screenshots/
│   ├── dashboard.png
│   └── feature-1.png
├── audio/
│   ├── bgm.mp3
│   └── narration.mp3
└── fonts/
    └── brand-font.woff2

Asset prep rules:

  • Logo: SVG or high-resolution PNG
  • Screenshots: Normalize to the target aspect ratio
  • Audio: MP3 or WAV; normalize volume
  • Fonts: Webfont or local font files

Step 4: Implement Remotion Composition

// src/Video.tsx
import { Composition } from 'remotion';
import { IntroScene } from './scenes/IntroScene';
import { ProblemScene } from './scenes/ProblemScene';
import { SolutionScene } from './scenes/SolutionScene';
import { CTAScene } from './scenes/CTAScene';

export const RemotionVideo: React.FC = () => {
  return (
    <>
      <Composition
        id="ProductIntro"
        component={ProductIntro}
        durationInFrames={1800} // 60s at 30fps
        fps={30}
        width={1920}
        height={1080}
      />
    </>
  );
};

// Scene Component Example
const IntroScene: React.FC<{ frame: number }> = ({ frame }) => {
  const opacity = interpolate(frame, [0, 30], [0, 1]);

  return (
    <AbsoluteFill style={{ opacity }}>
      <Logo />
      <Title>Transform Your Workflow</Title>
    </AbsoluteFill>
  );
};

Step 5: Render and QA

# 1. Preview render (low quality)
npx remotion preview src/Video.tsx

# 2. QA checks
- [ ] Timing
- [ ] Audio sync
- [ ] Text readability
- [ ] Smooth transitions

# 3. Final render
npx remotion render src/Video.tsx ProductIntro out/video.mp4

Examples

Example 1: Product Intro Video

Prompt:

Create a 60s product intro video with 6 scenes,
upbeat tone, and 16:9 output. Include a CTA at the end.

Expected output:

## Scene Breakdown
1. Hook (0:00-0:05): Logo + tagline
2. Problem (0:05-0:15): Pain point visualization
3. Solution (0:15-0:30): Product demo
4. Features (0:30-0:45): Key benefits (3 items)
5. Social Proof (0:45-0:55): Testimonial/stats
6. CTA (0:55-1:00): Call to action + contact

## Remotion Structure
- src/scenes/HookScene.tsx
- src/scenes/ProblemScene.tsx
- src/scenes/SolutionScene.tsx
- src/scenes/FeaturesScene.tsx
- src/scenes/SocialProofScene.tsx
- src/scenes/CTAScene.tsx

Example 2: Onboarding Walkthrough

Prompt:

Generate a 45s onboarding walkthrough using screenshots,
with callouts and 9:16 format for mobile.

Expected output:

  • Scene plan with 5 steps
  • Asset list (screenshots, callout arrows)
  • Text overlays and transitions
  • Mobile-safe margins applied

Best practices

  1. Short scenes: Keep each scene clear at 5-10 seconds
  2. Consistent typography: Define a typography scale
  3. Audio sync: Align narration cues with visuals
  4. Template reuse: Save reusable compositions
  5. Safe zones: Reserve margins for mobile aspect ratios

Common pitfalls

  • Text overload: Limit the amount of text per scene
  • Ignoring mobile safe zones: Check edges for 9:16 outputs
  • Final render before QA: Always verify in preview first

Troubleshooting

Issue: Audio and visuals out of sync

Cause: Frame timing mismatch Solution: Recalculate frames and align timestamps

Issue: Render is slow or fails

Cause: Heavy assets or effects Solution: Compress assets and simplify animations

Issue: Text unreadable

Cause: Font size too small or insufficient contrast Solution: Use at least 24px fonts and high-contrast colors


Output format

## Video Production Report

### Spec
- Duration: 60s
- Aspect Ratio: 16:9
- FPS: 30

### Scene Plan
| Scene | Duration | Visual | Audio | Transition |
|-------|----------|--------|-------|------------|
| Hook  | 0:00-0:05 |
how to use video-production

How to use video-production on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add video-production
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/supercent-io/skills-template --skill video-production

The skills CLI fetches video-production from GitHub repository supercent-io/skills-template and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/video-production

Reload or restart Cursor to activate video-production. Access the skill through slash commands (e.g., /video-production) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.555 reviews
  • Anika Sethi· Dec 24, 2024

    video-production reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Jin Bhatia· Dec 20, 2024

    Useful defaults in video-production — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Min Mensah· Dec 16, 2024

    We added video-production from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 8, 2024

    video-production has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Garcia· Dec 8, 2024

    Solid pick for teams standardizing on skills: video-production is focused, and the summary matches what you get after install.

  • Rahul Santra· Nov 27, 2024

    Keeps context tight: video-production is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Min Diallo· Nov 11, 2024

    I recommend video-production for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anaya Li· Nov 11, 2024

    video-production reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Jin Chawla· Nov 7, 2024

    video-production fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Tariq Flores· Nov 7, 2024

    video-production is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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