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video AI Agent Skill

View Source: coreyhaines31/marketingskills

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Installation

npx skills add coreyhaines31/marketingskills --skill video

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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.

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

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

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

Installs

Installs 27.5K
Global Rank #313 of 600

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Low
EU EU-Hosted Inference API

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GLM

GLM 5

$1.00 / $3.20

per M tokens

Kimi

Kimi K2.5

$0.60 / $2.80

per M tokens

MiniMax

MiniMax M2.5

$0.30 / $1.20

per M tokens

Qwen

Qwen3.5 122B

$0.40 / $3.00

per M tokens

How to use this skill

1

Install video by running npx skills add coreyhaines31/marketingskills --skill video in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of video, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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