video

Making a marketing video without a camera: an on-screen presenter who isn't real, footage generated from a written description, or a video assembled from a template and your own data.

WHEN TO USE

SCOPE

USE FOR

Decide which approach fits the video you need, and what it will cost to make.
Generate background footage from a written description using a model like Veo or Runway.
Turn a script into a talking-head explainer video using a HeyGen avatar.
Produce one product-update video per item on a list, all from a single template.
Break down the editing style of a video you admire and apply it to your own footage.

This is a saved copy of the skill's SKILL.md instructions. It may differ from the upstream file or the version you install.

In this document (13)

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.

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

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.

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.

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

Reverse-Engineer a Viral Edit

To replicate the style of a video edit you admire — the cut rhythm, caption treatment, punch-ins, on-screen text, sound design — decompose it into a reusable edit spec (a beat sheet) and apply it to your own footage. Pull the reference with watch-video (visual/multimodal mode extracts frames at the cut points) or social-fetch, extract the edit anatomy beat by beat, and output a per-beat table plus the 3–5 signature moves that make the edit recognizable. Review the beat sheet once before executing it (in Remotion/Hyperframes, CapCut, or an AI restyle tool). Copies the editing grammar, never the reference's footage/script/music. Full method: references/edit-anatomy.md.

Video Production Workflows

Product Demo Video

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

Explainer Video

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

Batch Social Clips

Create master template in Hyperframes/Remotion
Feed data — product features, testimonials, stats
Render batch — one template, many variations
Add platform-specific captions via CapCut or Captions.ai
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

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

Task-Specific Questions

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

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

This skill ships inside the Marketing Skills for AI Agents plugin.

Install just this skill

Run this outside your AI tool, using Node.js 22.20.0 or newer. Skills CLI 1.7.2 skips skill selection; prompts cancel installation without an interactive terminal. If choosing Project when asked about installation scope, open your project's folder before running this.

Install checklist

Check selected tools if a picker appears; Claude Code may be unchecked under Additional agents. ↑/↓ moves, Space toggles selections, Enter confirms.
Without a tool picker, check Installing to: for your intended tool. Stop if it names a different tool.
If asked, choose Symlink (Recommended) for shared files or Copy to all agents for separate copies; review the summary before confirming installation.
Install the find-skills skill? defaults to Yes, adding another skill for all projects. Choose No if you don't want that extra installation.

Skills CLI 1.7.2 sends install data to skills.sh by default, including the source, skill names, target tools and file details; GitHub sources are reported only when GitHub confirms the repository is public, while other remote sources can also be reported. Confirmed-public GitHub sources also trigger a security-audit request. Before installing, set the environment variable DO_NOT_TRACK=1 or DISABLE_TELEMETRY=1 to disable both.

npx skills add coreyhaines31/marketingskills --skill "video" --full-depth

After installing for Claude Code, open it in the installation project if you chose Project; Global makes the skill available across projects on this computer. Once Claude Code loads the skill, its description helps Claude decide when to use it.

If installation created a top-level skills folder that did not exist when your Claude Code session started, run /reload-skills in that session. Run it again after later changes in that folder.

Install the whole plugin

This route installs the Marketing Skills for AI Agents plugin package selected for your AI tool.

Add the marketplace, then install the plugin

Type both lines inside a Claude Code session, not at your shell prompt. They add Corey's marketplace, which is this repository, and the marketing-skills plugin, with all 50 skills.

/plugin marketplace add coreyhaines31/marketingskills

02
```
/plugin install marketing-skills
```

Installation and loading

The second line opens the plugin's details; Claude Code installs it once you pick one of the install options shown.

Good to know

/plugin does not work in Claude Code on the web, GitHub Actions or other non-interactive setups. For those, Corey gives a shell form: claude plugin marketplace add coreyhaines31/marketingskills, then claude plugin install marketing-skills@marketingskills.

Add the marketplace, then pick the plugin in Codex

Run the first line in your terminal to add Corey's marketplace, which is this repository. Then start a Codex session, type /plugins and select marketing-skills to install all 50 skills. To get new releases later, run codex plugin marketplace upgrade.

codex plugin marketplace add coreyhaines31/marketingskills

02
```
/plugins
```

Open plugin page ↗

What's inside

Files included with this skill.

View on GitHub

Same repository

ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.Read full description
ad-creative
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.Read full description
ads
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based marketing,' 'B2B ads,' 'lead quality,' 'negative keywords,' 'Performance Max,' 'thought leader ads,' or 'when should I kill an ad.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro.Read full description
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'llms-full.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' 'agent-readable site,' 'agent readiness,' 'is my site agent-ready,' 'WebMCP,' 'do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' or 'AI citation format shift.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.Read full description
analytics
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.Read full description
aso
When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my app conversion,' 'keyword optimization for app,' or 'compare my app to competitors.' Use when the user shares an App Store or Google Play URL and wants to improve it.Read full description