Promo Video logo

Promo Video

Community
AKCodez
promo-video

Create professional promo videos for any SaaS product or repository using Remotion + ElevenLabs. Scans your codebase, builds animated scenes, generates voiceover with emotional presets, and renders in landscape + portrait.

Overview

PublisherAKCodez
Repositorypromo-video-skill
Skill namepromo-video
Stars
76
Forks
17
Bundled files
14
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.

  • 14 bundled files

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

  • Open source

    Published by AKCodez 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/AKCodez/promo-video-skill/tree/master/skills/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/AKCodez/promo-video-skill.git /tmp/promo-video-skill
mkdir -p .claude/skills
cp -r /tmp/promo-video-skill/skills/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 ~/.agents/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 0: Preflight

Before anything else, validate the environment. Run the preflight script:

bash
npx tsx "${SKILL_DIR}/scripts/preflight.ts"

This checks:

  • Node.js >= 18
  • ELEVENLABS_API_KEY is set
  • bunx remotion ffmpeg works (cross-platform ffmpeg — no PATH issues)
  • Whisper is available for timing verification

If any check fails, show the user the fix instructions from the script output before continuing.


Phase 1: Understand the Product

Step 1A: Auto-Discovery

Before asking the user anything, scan their project for brand context:

bash
npx tsx "${SKILL_DIR}/scripts/discover-brand.ts" "<target-repo-path>"

This detects: product name, description, logo files, primary colors, URLs. Use these to pre-populate the interactive prompts below.

Step 1B: Input Method

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 src/ 2>/dev/null | head -10

Step 1C: Product Brief

Present dynamic options pre-populated from discovery:

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 }
  ]
}

Step 1D: 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
  }]
}

Ask for the exact domain/URL. Validate it looks like a real domain (no typos like .ai vs .app).


Phase 2: Creative Direction

Duration & Theme

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
    }
  ]
}

Voice Selection

json
{
  "questions": [{
    "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" },
      { "label": "Adam", "description": "Deep, dramatic male — cinematic and intense" },
      { "label": "Browse more voices", "description": "Search ElevenLabs for the perfect voice" }
    ],
    "multiSelect": false
  }]
}

Built-in Voice IDs (use these exact IDs):

VoiceVoice ID
MatildaXrExE9yKIg1WjnnlVkGX
Rachel21m00Tcm4TlvDq8ikWAM
DanielonwK4e9ZLuTAKqWW03F9
JoshTxGEqnHWrfWFTfGW9XjX
AdampNInz6obpgDQGcFmaJgB

If "Browse more voices", run the voice discovery script:

bash
npx tsx "${SKILL_DIR}/scripts/discover-voices.ts" --query "professional" --samples 3

This lists available voices and generates test samples in voice-tests/ for the user to audition.

Important: Library/premium voices require a paid ElevenLabs tier. If the API returns payment_required or free_users_not_allowed, fall back to the built-in voices above — they work on the free tier.

Narrative Template

See narrative-templates.md for proven hook structures. Suggest a template based on the product:

json
{
  "questions": [{
    "question": "What narrative structure?",
    "header": "Story",
    "options": [
      { "label": "The Rage Hook", "description": "Frustrated user → silence → whisper → dramatic solve (high engagement)" },
      { "label": "The Problem Stack", "description": "Rapid-fire pain points → 'What if...' → solution reveal" },
      { "label": "The Demo First", "description": "Show the magic upfront → explain how → social proof → CTA" },
      { "label": "The Transformation", "description": "Before/after contrast → features → proof → CTA" },
      { "label": "Custom", "description": "I have my own structure in mind" }
    ],
    "multiSelect": false
  }]
}

Transitions

json
{
  "questions": [
    {
      "question": "What transition between main sections?",
      "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": "How fast should transitions be?",
      "header": "Speed",
      "options": [
        { "label": "Quick (0.4s / 12 frames)", "description": "Snappy, energetic" },
        { "label": "Medium (0.7s / 21 frames)", "description": "Balanced, professional" },
        { "label": "Slow (1.2s / 36 frames)", "description": "Dramatic, cinematic" }
      ],
      "multiSelect": false
    }
  ]
}

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

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.


Phase 3: Build with Remotion

Project Setup

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

Composition Setup

Set up two compositions in Root.tsx — landscape and portrait from the same scene components:

tsx
import { Composition } from "remotion";
import { MyComposition } from "./Composition";
import { MyCompositionPortrait } from "./CompositionPortrait";

const DURATION = 1800; // Use timing-calculator.ts to compute

export const RemotionRoot: React.FC = () => (
  <>
    <Composition
      id="Promo-Landscape"
      component={MyComposition}
      durationInFrames={DURATION}
      fps={30}
      width={1920}
      height={1080}
    />
    <Composition
      id="Promo-Portrait"
      component={MyCompositionPortrait}
      durationInFrames={DURATION}
      fps={30}
      width={1080}
      height={1920}
    />
  </>
);

Composition ID rules:

  • Use hyphens only, never underscores (e.g., Promo-Landscape, not Promo_Landscape)
  • Underscores in composition IDs cause render failures

Multi-Format Architecture

See multi-format.md for the full LayoutContext pattern. The key idea:

  • Create a shared useLayout() hook that provides { width, height, isPortrait }
  • Each scene adapts its layout based on the context
  • Landscape compositions wrap scenes in <LayoutProvider width={1920} height={1080}>
  • Portrait compositions wrap scenes in <LayoutProvider width={1080} height={1920}>
  • Font sizes, padding, and layout direction adjust automatically

This means you write one set of scenes that works in both formats.

Scene Duration Guidelines

  • Optimal scene duration: 2-4 seconds (60-120 frames at 30fps)
  • Shorter scenes feel more energetic and hold attention
  • Only go to 4s for scenes with complex reveals or multiple elements
  • Hook scenes can be as short as 1.5s (45 frames)

Duration Calculation

TransitionSeries overlaps scenes during transitions. The effective duration is NOT the sum of scene durations.

Formula: effective = sum(sceneDurations) - (numTransitions × transitionDuration)

Run the timing calculator to verify:

bash
npx tsx "${SKILL_DIR}/scripts/timing-calculator.ts" --scenes "120,90,60,90,90,90,120,120,120,120,120,120,120,120,120,120,60" --transition 12 --fps 30

Set DURATION in Root.tsx to the effective value.

Framing & Sizing

  • Fill the frame. Elements should be large and confident.
  • Headlines: 60-90px minimum. Subtext: 32-44px.
  • Browser mockups / device frames: 60-80% of frame width.
  • Padding from edges: 60-100px.
  • If a scene feels empty, the elements are too small. Scale up.

Animation Toolkit

  • spring() for natural motion (play with damping, mass, stiffness)
  • interpolate() for precise timing control
  • CSS 3D transforms (perspective, rotateX, rotateY, translateZ) for depth
  • Box shadows and gradients for depth
  • Lucide icons for consistent iconography

See remotion-best-practices skill for animation rules. The critical one: ALL animations must use useCurrentFrame() + interpolate() or spring(). CSS transitions and Tailwind animations are forbidden in Remotion.

Scene Structure

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

Launch Remotion Studio for preview:

bash
npx remotion studio

Then ask:

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
  }]
}

Phase 4: Voiceover

The voiceover must match the visuals. This is non-negotiable. See voiceover.md for the full generation guide.

Quick Workflow

  1. Extract scene timings from your composition — account for TransitionSeries overlaps
  2. Write script sections — each section references what's on screen at that moment
  3. Assign emotional presets per section:
EmotionStabilitySimilarityStyleUse For
Urgent/Rage0.15-0.300.85-0.950.4-0.5Hook frustration, anger
Whisper0.25-0.350.90-0.950.3Secret reveal, intimacy
Confident0.55-0.650.80-0.900.2-0.3Features, product reveal
Warm0.60-0.700.80-0.850.2Social proof, results
Neutral0.65-0.750.850.2Standard narration
Dramatic0.40-0.500.85-0.900.3-0.4CTA, closing
  1. Generate voiceover — use ElevenLabs API with per-section settings:
bash
npx tsx "${SKILL_DIR}/scripts/generate-voiceover.ts" --config voiceover-config.json

The config format:

json
{
  "voiceId": "pNInz6obpgDQGcFmaJgB",
  "model": "eleven_multilingual_v2",
  "outputDir": ".",
  "sections": [
    {
      "id": "hook",
      "text": "What... what is this?",
      "startTime": 1.0,
      "emotion": "rage",
      "settings": { "stability": 0.20, "similarity_boost": 0.90, "style": 0.4 }
    },
    {
      "id": "reveal",
      "text": "What if you never had to guess again?",
      "startTime": 8.0,
      "emotion": "whisper",
      "settings": { "stability": 0.30, "similarity_boost": 0.90, "style": 0.3 }
    }
  ]
}
  1. Verify with Whisper — check actual timestamps match intended:
bash
whisper voiceover.mp3 --model tiny --output_format srt

Or with Python:

bash
python -c "
import whisper
model = whisper.load_model('tiny')
result = model.transcribe('voiceover.mp3')
for s in result['segments']:
    print(f\"{s['start']:.1f}s - {s['end']:.1f}s: {s['text']}\")
"
  1. Fix ALL overlaps immediately — do not ask the user:
    • Shorten text (make it punchier)
    • Increase gaps between sections
    • Regenerate and verify again
    • Repeat until zero overlaps

Audio Normalization

After generating voiceover, normalize volume:

bash
bunx remotion ffmpeg -y -i voiceover.mp3 -af "loudnorm=I=-16:TP=-1.5:LRA=11" voiceover-normalized.mp3

Phase 5: Music & Final Render

Background 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
  }]
}

Bundled music files (royalty-free from Pixabay):

bash
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

Mix Audio

Music volume: 0.08-0.12 (not 0.10 — adjust based on track energy):

bash
# Calculate fade-out start: total_seconds - 3
# For 60s video: st=57, for 90s video: st=87

bunx remotion 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

Render both landscape and portrait:

bash
# Landscape
npx remotion render Promo-Landscape out/promo-landscape.mp4 --image-format png --crf 1

# Portrait
npx remotion render Promo-Portrait out/promo-portrait.mp4 --image-format png --crf 1

Combine Video + Audio

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

# Portrait final
bunx remotion ffmpeg -y -i out/promo-portrait.mp4 -i voiceover-with-music.mp3 \
  -c:v copy -map 0:v:0 -map 1:a:0 out/promo-portrait-final.mp4

If audio was skipped:

bash
# No-audio version is already the final
cp out/promo-landscape.mp4 out/promo-landscape-final.mp4
cp out/promo-portrait.mp4 out/promo-portrait-final.mp4

Iteration Checklist

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 abruptIncrease transition duration by 6 frames
Blank frames at endExtend closing scene duration
Audio missing in openingGenerate separate rage/emotion clips, mix with adelay
Music too loudReduce volume from 0.10 to 0.08
Portrait looks crampedIncrease padding, reduce font sizes, stack layouts vertically
Composition ID render errorUse hyphens, not underscores

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. 3D rotation should be subtle and purposeful (browser mockup with slight perspective tilt, not a 360 spin).
  • No 3D transforms in transitions — Flip, rotate, and other 3D transitions don't render reliably. Stick to 2D: opacity, position, scale, and gradient masks. (3D transforms are fine for in-scene elements.)
  • No CSS transitions or Tailwind animations — All motion must use useCurrentFrame() with interpolate() or spring(). Remotion renders frame-by-frame; CSS animations don't work.
  • No underscores in composition IDs — Use hyphens only. Underscores cause render failures.
  • No hardcoded ffmpeg paths — Always use bunx remotion ffmpeg for cross-platform compatibility.
  • No skipping Whisper verification — Always verify voiceover timing before finalizing.

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 promo videos for any SaaS product or repository using Remotion + ElevenLabs. Scans your codebase, builds animated scenes, generates voiceover with emotional presets, and renders in landscape + portrait.

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/AKCodez/promo-video-skill/tree/master/skills/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 AKCodez. 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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