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coreyhaines31/video

coreyhaines31

video

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social. For paid video ad creative, see ad-creative.

global
version:2.0.1
New~3.3k
v2.0Saved Jun 29, 2026

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:

Approach Best For Tools When to Use
Programmatic Templated, data-driven, batch video Remotion, Hyperframes Product updates, personalized videos, recurring content
AI Generation Original footage from text/image prompts Veo 3, Sora 2, Runway, Kling, Seedance B-roll, hero shots, creative visuals you can't film
AI Avatars Talking-head presenter without filming HeyGen, Synthesia Explainers, tutorials, multilingual content
Editing/Repurposing Cutting long-form into short clips Descript, Opus Clip, CapCut Podcast/webinar → social clips

Programmatic Video

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

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

Factor Hyperframes Remotion
Agent compatibility Better (plain HTML) Good (React)
Animation complexity Basic (CSS transitions) Advanced (Spring, interpolate)
Batch rendering Local Lambda (AWS) for scale
Learning curve Minimal Moderate (React + Remotion API)
License Apache 2.0 Company license for commercial use

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

Model Resolution Max Duration Best For Cost
Veo 3 (Google) Up to 1080p (4K varies) Variable Top overall quality, synced audio API-based
Sora 2 (OpenAI) Up to 1080p Up to ~20 sec Cinematic + synced audio, ChatGPT/API integration API + ChatGPT
Runway Gen-4 Up to 4K ~10 sec/gen Motion control, temporal consistency, edit-style workflows $12-76/mo
Kling 2.5/3.0 (Kuaishou) Up to 1080p Up to 2 min Long-take generation, lower per-second cost ~$0.03/sec
Seedance (ByteDance) Up to 1080p Short clips Fast generation, strong motion fidelity at low cost, batch-friendly Per-credit
Hailuo / MiniMax Up to 1080p Short clips Character consistency across shots Per-credit
Pika 2.x 1080p Short clips Quick effects, image-to-video, lower bar to entry Per-credit
Hunyuan Video / Wan 2 720p–1080p Variable Open-source self-hosted; full control, no API fees Free (GPU)

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

Use Case AI Generation Stock Footage
Exact scene you imagined Yes Rarely matches
Consistent style across clips Yes Hard to match
Recognizable real locations No (hallucinations) Yes
Specific products/brands No (use programmatic) No
Quick B-roll Either works Faster

AI Avatars

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

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.

Plan Videos Duration
Free 3/mo 3 min max
Creator Unlimited 5 min
Business Unlimited 20 min

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

Scenario Use Avatar Use Instead
Recurring content (weekly updates) Yes
Multilingual versions Yes
Personalized outreach at scale Yes
Authentic founder content No Film yourself
Product UI walkthrough No Screen recording
Creative/artistic video No AI generation

Editing & Repurposing Tools

Turn existing content into multiple video formats.

Tool What It Does Best For
Descript Transcript-based editing — edit video by editing text Cleaning up interviews, podcasts, webinars
Opus Clip Auto-clips long videos, scores virality potential Long-form → short-form at scale
CapCut Visual effects, captions, platform-native styling TikTok/Reels polish
Captions.ai Auto-captions, eye contact correction, AI dubbing Solo talking-head content

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

Tool Type MCP Guide
HeyGen AI avatars Yes heygen.md
Hyperframes Programmatic video - hyperframes.md
Remotion Programmatic video - remotion.dev
Runway AI generation - runwayml.com/docs

  • 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
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Overall Score

87/100

Grade

A

Excellent

Safety

92

Quality

85

Clarity

87

Completeness

82

Summary

This is a comprehensive expert guide for video production using AI tools and programmatic frameworks. It provides structured workflows for creating product demos, explainers, social clips, and batch content through four primary approaches: programmatic video (Hyperframes, Remotion), AI video generation (Veo, Sora, Runway, Kling, etc.), AI avatars (HeyGen, Synthesia), and editing/repurposing tools. The skill is agent-native by design, recommending tools with direct API/MCP integration and plain HTML/code generation rather than manual workflows.

Detected Capabilities

Tool recommendation and comparisonAPI/MCP server integration guidanceWorkflow documentation and sequencingVideo generation model selection and promptingFile reference checking (.agents/ context files)Cross-skill linking (copywriting, social, ad-creative)

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

create product demo videoai avatar videoprogrammatic video templatebatch video generationvideo repurposingai video promptsexplainer video creationproduct update videoshort-form clips

Risk Signals

INFO

External URL references to video tool documentation

Tool Integrations table (runwayml.com, heygen.com, remotion.dev)
INFO

References to external tool APIs and MCP servers

Throughout SKILL.md (HeyGen MCP, Veo API, Runway API)
INFO

File path checks for product-marketing context

Before Starting section (.agents/product-marketing.md)

Referenced Domains

External domains referenced in skill content, detected by static analysis.

docs.dev.runwayml.comwww.heygen.comwww.remotion.dev

Use Cases

  • Create product demo videos with screen recording and programmatic overlays
  • Generate weekly AI avatar update videos for recurring content
  • Produce AI-generated B-roll footage for hero shots and lifestyle scenes
  • Repurpose long-form webinars and podcasts into short-form social clips
  • Build batch personalized video outreach at scale with templated variables
  • Choose between programmatic frameworks (Hyperframes vs Remotion) based on team tech stack
  • Generate effective AI video prompts following subject+action+camera+style patterns

Quality Notes

  • Excellent scope definition: clearly distinguishes video from social strategy (social skill) and paid ads (ad-creative skill)
  • Comprehensive tool comparison tables with context-specific selection criteria
  • Well-structured evaluation evals.json with 6 concrete scenarios validating all major workflows
  • Agent-native guidance emphasizing HTML/plain code generation over manual UI
  • Detailed prompting guide with model-specific tips, vocabulary, and common mistakes
  • Clear cross-references to related skills (copywriting, social, ad-creative, marketing-psychology)
  • Warning sections highlight common pitfalls (uncanny valley avatars, AI-generated text quality, aspect ratios)
  • Before Starting checklist reduces ambiguity before agent action
  • Referenced guide files (ai-video-prompting.md) exist and are complete
  • Practical task-specific questions section guides agent toward necessary context
Model: claude-haiku-4-5-20251001Analyzed: Jun 29, 2026

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Version History

v2.0

Contract changed: description

2026-06-28

Latest
v1.0

No changelog

2026-04-25

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