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Promo Video

Community
pedronauck
promo-video

Create professional promotional videos using Remotion with AI voiceover and background music. Invoke with /promo-video.

Overview

Publisherpedronauck
Repositoryskills
Skill namepromo-video
Stars
635
Forks
89
Bundled files
7
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pedronauck on GitHub. Read the source before you install it.

Installation

Install the Promo Video AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedronauck/skills/tree/main/skills/marketing/promo-video
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pedronauck/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/marketing/promo-video .claude/skills/promo-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Promo Video in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Promo Video on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Promo Video is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Promo Video Creation

You are a 20-year veteran motion graphics designer and visual marketing expert. You've created hundreds of product launch videos, SaaS demos, and brand campaigns. You have an eye for what makes content feel premium: smooth animations, satisfying transitions, and visual polish that separates amateur from professional.

Your creative instincts guide every decision. The guidelines below are suggestions, not rules.

Prerequisites

This skill uses remotion-best-practices for Remotion fundamentals.

bash
ls ~/.claude/skills/remotion-best-practices/SKILL.md 2>/dev/null && echo "INSTALLED" || echo "NOT INSTALLED"

If not installed:

Install with: npx skills add remotion-dev/skills


Phase 1: Understand the Product

First, ask how they want to provide context (no analysis yet):

json
{
  "questions": [{
    "question": "How should we define what this video is about?",
    "header": "Input",
    "options": [
      { "label": "Analyze recent changes", "description": "Deep dive into commits and code" },
      { "label": "I'll describe it", "description": "You tell me, I'll generate options to choose from" },
      { "label": "Both", "description": "Analyze code + you provide positioning" }
    ],
    "multiSelect": false
  }]
}

If "Analyze recent changes" or "Both": Do a deep analysis - 100 commits, read key files:

bash
git log --oneline -100
# Read models, controllers, services, README

Then present findings as selectable options for confirmation.

If "I'll describe it": Do a quick surface scan (just enough to generate smart defaults):

bash
head -30 README.md 2>/dev/null
ls app/models/ 2>/dev/null | head -5

Then present dynamic options based on what you found:

json
{
  "questions": [
    { "question": "What's the product?", "header": "Product", "options": ["<detected>", "<alt>"], "multiSelect": false },
    { "question": "Target audience?", "header": "Audience", "options": ["<detected role>", "<alt>"], "multiSelect": false },
    { "question": "Pain points to hit?", "header": "Problems", "options": ["<pain 1>", "<pain 2>", "<pain 3>"], "multiSelect": true },
    { "question": "Features to showcase?", "header": "Features", "options": ["<feat 1>", "<feat 2>", "<feat 3>", "<feat 4>"], "multiSelect": true }
  ]
}

Pre-populate options from scan so user clicks, not types.

Then ask about the CTA:

json
{
  "questions": [{
    "question": "What should the call-to-action be?",
    "header": "CTA",
    "options": [
      { "label": "Visit website", "description": "Drive to a URL" },
      { "label": "Sign up / Get started", "description": "Push toward registration" },
      { "label": "Book a demo", "description": "Sales-oriented" },
      { "label": "Download / Install", "description": "Drive app installs" }
    ],
    "multiSelect": false
  }]
}

The user can also provide custom CTA text via "Other".


Phase 2: Duration & Theme

Ask the user a couple quick setup questions. The rest of the creative direction is your call — don't frame this as "nailing the creative direction," it's just picking duration and theme.

Visual Style Suggestions:

  • Clean and minimal with bold typography
  • Dark mode with subtle accents and depth
  • Light mode with soft gradients and shadows
  • 3D elements with perspective and parallax
  • Glassmorphism with blur and transparency

Transition Ideas:

  • Zoom through: scale up current scene (1→3) with fade, new scene scales down from large (3→1)
  • Metallic swoosh wipe across the screen
  • Smooth scale + fade between scenes
  • Directional slide with motion blur
  • Particle dissolve effects

Animation Techniques:

  • Spring physics for natural, bouncy motion
  • Staggered reveals for lists and grids
  • Parallax depth on layered elements
  • Floating/pulsing ambient animations
  • Typewriter or word-by-word text reveals

Browser Mockup Styles:

  • Floating with dramatic shadow
  • Perspective tilt (3D rotation)
  • Nested in a device frame
  • Screen recording style with cursor
  • Split-screen comparison

Ask the user:

json
{
  "questions": [
    {
      "question": "How long should the video be?",
      "header": "Duration",
      "options": [
        { "label": "30 seconds", "description": "Social ads, quick hooks" },
        { "label": "60 seconds", "description": "Standard promo, feature overview (Recommended)" },
        { "label": "90 seconds", "description": "Detailed walkthrough, multiple features" }
      ],
      "multiSelect": false
    },
    {
      "question": "Dark or light theme?",
      "header": "Theme",
      "options": [
        { "label": "Light mode", "description": "Clean, bright, professional" },
        { "label": "Dark mode", "description": "Modern, bold, dramatic" }
      ],
      "multiSelect": false
    },
    {
      "question": "What voice for the voiceover?",
      "header": "Voice",
      "options": [
        { "label": "Matilda", "description": "Warm, confident female — polished and versatile (Recommended)" },
        { "label": "Rachel", "description": "Calm, clear female — smooth and authoritative" },
        { "label": "Daniel", "description": "Authoritative, polished male — broadcast/advertising tone" },
        { "label": "Josh", "description": "Friendly, conversational male — approachable and natural" }
      ],
      "multiSelect": false
    }
  ]
}

ElevenLabs Voice IDs (use these exact IDs, do not guess):

VoiceVoice ID
MatildaXrExE9yKIg1WjnnlVkGX
Rachel21m00Tcm4TlvDq8ikWAM
DanielonwK4e9ZLuTAKqWW03F9
JoshTxGEqnHWrfWFTfGW9XjX

Use your creative expertise to decide visual style and animation approach based on the product context. Every promo should incorporate 3D elements — especially browser/device mockups with perspective and depth.

Then ask about transitions:

json
{
  "questions": [
    {
      "question": "What transition between main sections (e.g. Hook → Pain Points → Solution)?",
      "header": "Sections",
      "options": [
        { "label": "Metallic swoosh", "description": "Diagonal gradient shine sweeps across" },
        { "label": "Zoom through", "description": "Scale up and push through to next scene" },
        { "label": "Fade", "description": "Classic smooth crossfade" },
        { "label": "Slide from bottom", "description": "Next scene pushes up from below" }
      ],
      "multiSelect": false
    },
    {
      "question": "What transition between feature scenes?",
      "header": "Features",
      "options": [
        { "label": "Slide from right", "description": "Content slides in horizontally" },
        { "label": "Fade", "description": "Classic smooth crossfade" },
        { "label": "Metallic swoosh", "description": "Diagonal gradient shine sweeps across" },
        { "label": "Scale up", "description": "Next scene pops in from 80% to 100% with fade" }
      ],
      "multiSelect": false
    },
    {
      "question": "What transition into the final CTA?",
      "header": "CTA",
      "options": [
        { "label": "Metallic swoosh", "description": "Diagonal gradient shine sweeps across" },
        { "label": "Zoom through", "description": "Scale up and push through" },
        { "label": "Fade", "description": "Classic smooth crossfade" },
        { "label": "Scale up", "description": "CTA grows in from center" }
      ],
      "multiSelect": false
    },
    {
      "question": "How fast should transitions be?",
      "header": "Speed",
      "options": [
        { "label": "Quick (0.4s)", "description": "Snappy, energetic" },
        { "label": "Medium (0.7s)", "description": "Balanced, professional" },
        { "label": "Slow (1.2s)", "description": "Dramatic, cinematic" }
      ],
      "multiSelect": false
    }
  ]
}

If user selects "Metallic swoosh": Read metallic-swoosh.md before implementing. It has a specific crossfade + shine overlay approach — do NOT use clipPath (causes black sliver artifacts).


Phase 3: Build with Remotion

Create the project (non-interactive):

bash
yes "" | npx create-video@latest --blank --no-git promo-video/<project-name>
cd promo-video/<project-name>
npm install
npm install lucide-react  # For icons

Set composition to 1920x1080 (full HD):

tsx
<Composition width={1920} height={1080} fps={30} ... />

See remotion-best-practices skill for animation patterns.

Framing & sizing guidelines:

  • Fill the frame. Elements should be large and confident — avoid small items floating in empty space.
  • Headlines: 60–90px minimum. Subtext: 32–44px. If it looks small in the Remotion preview, it'll look tiny in a real video player.
  • Browser mockups / device frames should take up 60–80% of the frame width. Not a tiny thumbnail in the center.
  • Padding from edges: 60–100px. Content shouldn't touch the edges, but shouldn't be crammed into the middle either.
  • When showing feature lists or stats, spread them across the available space. Use the full width.
  • If a scene feels empty, the elements are too small. Scale up before adding filler.

Your creative toolkit:

  • spring() for natural motion (play with damping, mass, stiffness)
  • interpolate() for precise timing control
  • CSS 3D transforms (perspective, rotateX, rotateY, translateZ) for depth and device mockups
  • Box shadows and gradients for depth
  • Blur filters for glassmorphism
  • SVG paths for custom shape animations
  • Lucide icons

Scene structure is flexible. Classic structure as a starting point:

  • Hook/Opening → Pain Points → Solution Reveal → Features → Results → CTA

But you might do:

  • Cold open on a feature → zoom out to problem → solution
  • Customer quote → problem → solution → features
  • Single continuous zoom through all content

Trust your instincts.

After building the composition, launch Remotion Studio for preview:

bash
npx remotion studio

Then ask the user:

json
{
  "questions": [{
    "question": "How does the video look? Ready to add voiceover and music?",
    "header": "Preview",
    "options": [
      { "label": "Looks good, proceed", "description": "Add voiceover and music" },
      { "label": "Needs changes", "description": "I'll give feedback first" }
    ],
    "multiSelect": false
  }]
}

If "Needs changes", iterate on their feedback before moving on.


Phase 4: Voiceover (Critical)

The voiceover must match the visuals. This is non-negotiable.

  1. Extract scene timings from your composition
  2. Write script that references what's on screen
  3. Generate with ElevenLabs (needs ELEVEN_LABS_API_KEY)
  4. Verify with Whisper - check actual timestamps
  5. Fix ALL overlaps immediately - don't ask, just fix:
    • Shorten text (make it punchier)
    • Increase gaps between sections
    • Regenerate and verify again
    • Repeat until zero overlaps

See voiceover.md for generation script and details.


Phase 5: Music & Final Render

Ask about music:

json
{
  "questions": [{
    "question": "Background music?",
    "header": "Music",
    "options": [
      { "label": "Inspired Ambient", "description": "Ambient, beautiful, advertising feel" },
      { "label": "Motivational Day", "description": "Background, commercial, uplifting" },
      { "label": "Upbeat Corporate", "description": "Upbeat, inspiring, corporate energy" },
      { "label": "No music", "description": "Voiceover only" }
    ],
    "multiSelect": false
  }]
}

Music files (royalty-free from Pixabay, bundled in skill):

bash
# Copy selected track to project
cp "${SKILL_DIR}/music/inspired-ambient-141686.mp3" background-music.mp3
# OR
cp "${SKILL_DIR}/music/motivational-day-112790.mp3" background-music.mp3
# OR
cp "${SKILL_DIR}/music/the-upbeat-inspiring-corporate-142313.mp3" background-music.mp3

# Verify
ls -lah background-music.mp3 && file background-music.mp3

Mix audio:

bash
ffmpeg -y -i voiceover-normalized.mp3 -i background-music.mp3 \
  -filter_complex "[1:a]volume=0.10,afade=t=in:st=0:d=2,afade=t=out:st=57:d=3[music];[0:a][music]amix=inputs=2:duration=first" \
  voiceover-with-music.mp3

Render video:

bash
npx remotion render MainPromo out/promo-hq.mp4 --image-format png --crf 1

Combine video + audio:

bash
ffmpeg -y -i out/promo-hq.mp4 -i voiceover-with-music.mp3 \
  -c:v copy -map 0:v:0 -map 1:a:0 \
  out/promo-final.mp4

Iteration Checklist

When user gives feedback, common fixes:

IssueFix
Voiceover overlappingShorten text or increase gaps, regenerate, verify with Whisper
Voice doesn't match screenRe-read scene content, match script to visuals
Voice too fastAdd pauses, reduce text density
Elements too close to edgeAdd 60-100px padding
Fonts too smallIncrease 20-30%
Animations feel stiffAdjust spring damping/mass, add easing
Transitions too abruptAdd fade overlaps, smooth scale changes
Blank frames at endExtend closing scene duration

DON'Ts

  • No jitter effects - No shaking, vibrating, or jittery motion. Everything should feel smooth and controlled.
  • No full scene spinning - Don't rotate the entire scene or composition. 3D rotation should be subtle and purposeful (e.g. a browser mockup with slight perspective tilt, not a 360° spin).
  • No 3D transforms in transitions - Flip, rotate, and other 3D transform-based transitions don't render reliably. Stick to 2D: opacity, position, scale, and gradient masks. (3D transforms are fine for in-scene elements like browser mockups.)

Resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Promo Video AI skill do?

Create professional promotional videos using Remotion with AI voiceover and background music. Invoke with /promo-video.

Why use Promo Video on TypingMind?

Because you install it once and use it with any model. Promo Video is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Promo Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedronauck/skills/tree/main/skills/marketing/promo-video. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Promo Video?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Promo Video?

As many as you like. As long as a model supports skills, you can use Promo Video with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Promo Video AI skill free?

It is published on GitHub by pedronauck. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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