• Marketing
  • Marketing
  • Marketing skills

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,' 'record a product demo,' 'feature demo video,' 'in-app demo,' 'video pipeline,' 'copy this edit,' 'match this video style,' 'reverse-engineer this video,' 'edit like this reference,' 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.

MyClawBotsOfficial skillFrom Marketing Skills by Corey Haines ↗ · MIT

SKILL.md

Video

On a MyClawBots agent

  • Paths like .agents/product-marketing.md are relative to your workspace (normally /root/.openclaw/workspace). Create the .agents/ folder there if it does not exist; the .claude/ fallbacks do not apply on this machine. The product-marketing skill writes that file.
  • The files this skill mentions (references/, scripts/, assets/) are installed next to this SKILL.md, in /root/.openclaw/skills/video/.
  • When this skill points to another skill (for example "see cro"), run claw info <name> and claw install <name> if it is not installed yet.
  • Links into the upstream tools/ folder are reference docs, not tools installed here. Only call a third-party API the owner has connected.

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, 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)

Open-source framework from HeyGen. Compositions are plain HTML/CSS/JS files. Docs: hyperframes.heygen.com.

npx hyperframes init my-video && cd my-video
npx hyperframes preview               # live preview
npx hyperframes render -o output.mp4  # render index.html

Key concept: A composition is one HTML file. The root element sets the canvas and length (data-composition-id, data-duration, data-width, data-height), each element on screen is a clip (class="clip" with data-start, data-duration, data-track-index), and a paused GSAP timeline registered in window.__timelines drives the animation. The hyperframes package is CLI-only; to render from code, use @hyperframes/producer (createRenderJob + executeRenderJob). Full syntax and a working example: Hyperframes integration guide.

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

Remotion (React)

Framework where compositions are React components. Docs: remotion.dev.

npx create-video@latest

Key concept: A composition is a React component that reads the current frame number and returns what's on screen. Props drive content.

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: Teams that already write React and want to reuse their components.

When to Pick Which

Both render web pages to video in a headless browser. The difference is what you write:

Hyperframes Remotion
You write HTML, CSS, JS React components (TypeScript)
Timing Declared in markup; the renderer seeks a paused animation timeline Computed in code from the current frame number

Pick the one that matches what your team and source material already are: existing HTML, CSS, or browser animations point to Hyperframes; an existing React codebase points to Remotion. For rendering options, licensing, and current features, check each project's docs. They change faster than this skill.


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
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
  • 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 (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

  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

Scripted in-app recording: for a repeatable demo of a web app flow (re-recorded every release, run against a local build), drive the app with Playwright and add subtitles, a visible cursor, and optional TTS narration. See references/product-demo-recording.md for the workflow, step modes, and local-app gotchas.

Code-rendered product films: for a library of walkthroughs, launch films, and a landing hero that must stay accurate as the UI changes, render every frame from code over real DOM snapshots of a seeded app, with claims checked against the source and a running AGENTS.md of taste rules. See references/code-rendered-product-films.md for the repo setup, UI capture, audio, render, review, and measurement.

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

Personalized Video per Account

A tailored product film for each target account, made by agents. One-off prompting gets a decent film after 15–20 minutes of back-and-forth; hundreds need a foundation built first.

  1. Product component library — agents walk the app and rebuild key screens as reusable components, one source of truth that every film pulls from instead of redrawing.
  2. Motion primitives — a library of reusable animated parts (camera pushes, screen handoffs, click rhythm, product moves). Fix one and every film inherits the fix.
  3. A menu of demo flows — company-agnostic moments buyers ask to see, each a short list of beats.
  4. Per-account script — an agent drafts it from call notes, CRM win/loss data, and account research, with a fictional company on screen. Voiceover from a cloned narrator voice, with the narrator's consent.
  5. A render engine — code that turns a beat list into a film: camera, transitions, captions, pointer timing, end card.
  6. Automated QA — render contact sheets and flag clipped text, small type, and stray pointers before a person watches.
  7. One tracker — a row per film (account, flow, status, links) that agents update as they build, export, and deliver.

Start with a storyboard for the first film: it sits between the brief and production the way a PRD sits between a spec and code. Expect tool limits at volume (one agent per file, daily API caps), so run films in parallel lanes and batch overnight. Works with any programmatic stack (Hyperframes, Remotion) or a design tool with agent access.

Adapted from Harvey's write-up of its agent-built launch and per-account films (Shawn Farsai and Gabe Pereyra, October 2026).


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

Files

5 files ship with this skill. They are installed beside the SKILL.md.

NOTICE1.5 KB
Video
Adapted by MyClawBots from Marketing Skills by Corey Haines (https://github.com/coreyhaines31/marketingskills), skills/video
at https://github.com/coreyhaines31/marketingskills/commit/88c79f6528a9347420e57ceb1fff9a60de651768. The frontmatter and the "On a MyClawBots agent"
section were added by MyClawBots for this runtime; upstream evals/ are not included.
The skill is shared under the MIT License below; this notice must stay with any copy.

MIT License

Copyright (c) 2025 Corey Haines

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of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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The above copyright notice and this permission notice shall be included in all
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