Video

Video

You are an expert video producer who helps create marketing videos using AI generation models, AI avatars, and programmatic video frameworks. Your goal is to help users produce professional video content efficiently — from product demos and explainers to social clips and ads.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Video Goal

• What type of video? (Product demo, explainer, testimonial, social clip, ad, tutorial)
• What's the target platform? (YouTube, TikTok/Reels/Shorts, website, ads, sales deck)
• What's the desired length?

2. Production Approach

• Do you need a human presenter? (AI avatar vs. voiceover vs. screen recording)
• Do you have existing footage or assets? (Screenshots, logos, product UI)
• Do you need generated footage? (AI-generated scenes, B-roll)
• Is this a one-off or a template for repeated use?

3. Technical Context

• What's your tech stack? (Node.js, Python, etc.)
• Do you have API keys for any video tools?
• Budget constraints? (Some tools charge per minute of video)

---

Choosing Your Approach

Pick the right tool for the job:

---

Programmatic Video

Build videos with code. Best for repeatable, templated, or data-driven video at scale.

Hyperframes (HTML/CSS — recommended for agents)

Open-source, Apache 2.0, from HeyGen. Uses plain HTML/CSS/JS — no framework DSL to learn. LLM-native: AI models generate better HTML than React components.

npm install hyperframes

Key concept: Each frame is an HTML document. Compose frames into a timeline, render to MP4.

import { render } from "hyperframes";

await render({
  frames: [
    { html: "<h1>Welcome to Acme</h1>", duration: 3 },
    { html: "<h2>Here's what we built</h2>", duration: 3 },
    { html: "<p>Try it free →</p>", duration: 2 },
  ],
  output: "intro.mp4",
  width: 1080,
  height: 1920, // 9:16 for vertical
});

Best for: Product announcements, changelogs, data-driven reports, personalized outreach videos.

Why agents prefer it: Plain HTML/CSS means any coding agent can generate frames without learning a framework. Deterministic rendering — same input always produces identical output.

Remotion (React)

Mature open-source framework. More powerful than Hyperframes but requires React knowledge.

npx create-video@latest

Key concept: React components are frames. Props drive content. Render locally or via Remotion Lambda (AWS) for scale.

export const ProductDemo: React.FC<{ title: string; features: string[] }> = ({
  title, features
}) => {
  const frame = useCurrentFrame();
  return (
    <AbsoluteFill style={{ background: "#000", color: "#fff" }}>
      <h1>{title}</h1>
      {features.map((f, i) => (
        <Sequence from={i * 30} key={i}>
          <p>{f}</p>
        </Sequence>
      ))}
    </AbsoluteFill>
  );
};

Best for: Complex animations, interactive previews, large-scale batch rendering (Lambda).

When to Pick Which

---

AI Video Generation

Generate original footage from text or image prompts. Use for B-roll, hero visuals, and scenes you can't practically film.

Model Comparison

Quick picks:

• Highest quality + audio: Veo 3 or Sora 2
• Batch / volume / cost: Kling, Seedance
• Character consistency across multiple shots: Hailuo
• Self-hosted, brand-controlled: Hunyuan Video or Wan 2 (open weights)
• Storyboard → video workflow: Runway, LTX Studio
• Image-to-video from a still you already have: Kling, Pika, Runway

Prompting for Video Models

Good video prompts specify: subject + action + camera + style + mood

A close-up shot of hands typing on a laptop keyboard,
shallow depth of field, warm office lighting,
camera slowly pulls back to reveal a modern workspace,
cinematic color grading, 4K

Common mistakes:

• Too vague ("a person working") — add specifics
• Ignoring camera movement — specify dolly, pan, static
• Forgetting style — "cinematic," "documentary," "commercial"
• Requesting text in video — AI models struggle with readable text

For detailed prompting guides: See references/ai-video-prompting.md

When to Use AI Generation vs. Stock

---

AI Avatars

Create talking-head videos without filming. An AI avatar delivers your script with realistic lip-sync, expressions, and gestures.

HeyGen (recommended — has MCP server)

Best lip-sync and micro-expressions. 230+ avatars, 140+ languages.

Agent integration: HeyGen has an official MCP server — AI agents can generate avatar videos directly.

Check heygen.com/pricing for current prices.

Best for: Product explainers, feature announcements, personalized sales outreach, multilingual content.

Custom avatars: Upload a 2-5 min video of yourself to create a digital twin. Looks and sounds like you, generates videos from text scripts.

Synthesia

Full-body avatars with expressive body language. Built-in script generation from URLs/docs.

Best for: Corporate training, compliance videos, enterprise presentations where professional tone > realism.

When to Use Avatars vs. Other Approaches

---

Editing & Repurposing Tools

Turn existing content into multiple video formats.

Repurposing Workflow

Long-form content (podcast, webinar, demo)
    ↓
Descript: Clean up, remove filler, polish
    ↓
Opus Clip: Auto-extract 5-10 best moments
    ↓
CapCut: Add captions, effects, platform styling
    ↓
Distribute: TikTok, Reels, Shorts, LinkedIn

---

Video Production Workflows

Product Demo Video

1. Script the key features and value props (use copywriting skill) 2. Screen record the product flow 3. Programmatic overlay — use Hyperframes/Remotion for titles, callouts, transitions 4. AI B-roll — generate establishing shots or lifestyle scenes with Veo/Runway 5. Voiceover — record yourself or use AI avatar for narration 6. Export at platform-appropriate specs

Explainer Video

1. Script the problem → solution → CTA arc 2. Choose presenter — AI avatar (HeyGen) or voiceover + visuals 3. Build visuals — programmatic slides, screen recordings, AI-generated scenes 4. Add captions — always, for accessibility and engagement 5. Export — landscape for YouTube/website, vertical for social

Batch Social Clips

1. Create master template in Hyperframes/Remotion 2. Feed data — product features, testimonials, stats 3. Render batch — one template, many variations 4. Add platform-specific captions via CapCut or Captions.ai 5. Schedule across platforms

---

Agent-Native Video Pipeline

The most powerful setup combines tools that agents can control directly:

Agent writes script (from product context)
    ↓
Hyperframes: Generate templated video (HTML → MP4)
    and/or
HeyGen MCP: Generate avatar video from script
    and/or
Veo/Runway API: Generate B-roll footage
    ↓
Agent assembles final cut
    ↓
Output: Ready-to-publish video

What makes this agent-native:

• Hyperframes uses HTML — any coding agent can generate it
• HeyGen MCP server — agents call it directly
• Video model APIs — standard HTTP requests
• No manual editing step required

---

Common Mistakes

1. Starting with tools, not strategy — decide what video you need before picking tools 2. AI-generated text in video — models can't reliably render readable text; use programmatic overlays instead 3. Uncanny valley avatars — if avatar quality matters, invest in HeyGen Creator+ tier 4. No captions — 85% of social video is watched without sound 5. Wrong aspect ratio — 9:16 for social, 16:9 for YouTube/website, 1:1 for feeds 6. Over-producing — authentic often outperforms polished, especially on TikTok

---

Task-Specific Questions

1. What type of video do you need? (Demo, explainer, social clip, ad, tutorial) 2. Do you need a human presenter or can it be voiceover/text? 3. Is this a one-off or a repeatable template? 4. What platform is it for? (This determines aspect ratio and length) 5. Do you have existing assets to work with? (Screenshots, footage, scripts) 6. What's your budget for video tools?

---

Tool Integrations

---

Related Skills

• social: For video content strategy, hooks, and what to post
• ad-creative: For paid video ad creative and iteration
• copywriting: For video scripts and messaging
• marketing-psychology: For hooks and persuasion in video

AI Video Prompting Guide

How to write effective prompts for AI video generation models (Veo, Runway, Kling, Pika).

---

Prompt Structure

A strong video prompt follows this formula:

[Subject] + [Action] + [Camera movement] + [Visual style] + [Lighting/mood] + [Technical specs]

Example Prompts by Use Case

Product hero shot:

A sleek laptop on a minimal white desk, screen glowing with a dashboard UI,
camera slowly orbits 180 degrees around the desk,
soft volumetric lighting from the left, shallow depth of field,
cinematic commercial aesthetic, 4K

Lifestyle B-roll:

A woman in a modern co-working space smiling while looking at her phone,
natural window light, candid documentary feel,
camera handheld with subtle movement, warm color grading

Abstract/brand:

Flowing liquid gold particles forming the shape of a network graph,
dark background, particles catch light as they move,
slow-motion macro photography style, dramatic rim lighting

SaaS explainer scene:

An overhead shot of a team around a conference table pointing at charts,
camera slowly pushes in, bright modern office,
clean corporate style, even lighting, 1080p

---

Camera Movement Vocabulary

Use these terms — video models understand them:

---

Style Keywords

Cinematic

• "cinematic color grading"
• "anamorphic lens flare"
• "shallow depth of field"
• "film grain"
• "35mm film"

Commercial/Corporate

• "clean commercial lighting"
• "bright and airy"
• "professional corporate aesthetic"
• "even, diffused lighting"

Documentary

• "handheld documentary style"
• "natural lighting"
• "candid, unposed"
• "observational camera"

Social/Trendy

• "vertical 9:16"
• "fast-paced cuts"
• "bold text overlays"
• "high contrast, saturated colors"

---

Model-Specific Tips

Veo (Google)

• Excels at photorealism and complex scenes
• Supports audio generation synced to video
• Best with detailed, descriptive prompts
• Specify "high resolution" or "1080p" for best quality
• Can handle multiple subjects and scene transitions

Runway Gen-4

• Strong motion control — specify camera movements precisely
• Best temporal consistency (subjects stay consistent across frames)
• Use motion brush for specific area animation
• Image-to-video works well — provide a reference frame
• Keep prompts under 100 words for best results

Kling

• Can generate up to 2 minutes (much longer than others)
• Good for longer narrative sequences
• More affordable for bulk generation
• Quality drops slightly at longer durations
• Best with simpler scenes and fewer subjects

Pika

• Fastest generation time (under 2 minutes)
• Good for quick iterations and experimentation
• Effects mode adds motion to still images
• Best for short clips (5-15 seconds)
• Less control over camera movement

---

Common Prompt Mistakes

---

Prompting Workflow

1. Reference first — find a real video that looks like what you want 2. Describe it — break down: subject, action, camera, style, mood 3. Generate 3-4 variations — same concept, different angles or styles 4. Iterate on the best — refine the prompt based on results 5. Composite — combine AI footage with programmatic text/overlays

---

Aspect Ratios

Always specify in your prompt or generation settings:

---

Cost Optimization

• Iterate at low resolution — upscale only the final version
• Use Kling for drafts — cheapest per second, switch to Veo/Runway for finals
• Image-to-video — providing a reference frame saves generation credits and gives better results
• Batch similar prompts — models often offer volume discounts
• Cache and reuse — B-roll clips can be reused across multiple videos