Tested demoQuality 93/100Review permissions

coreyhaines31/marketingskills/skills/video/SKILL.md

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,' 'copy this edit,' 'match this

Source repository stars
45,511
Declared platforms
0
Static risk flags
1
Last source update
2026-08-24
Source checked
2026-08-25

Decision brief

What it does: where it fits

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.

Best for

  • 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 gener…

Not for

  • 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
Controlled single-run demoChecked 2026-08-20

What changed when the Skill was used

In this controlled same-task single run, enabling video changed the output from 2220 non-whitespace characters and 14 headings to 2527 characters and 13 headings. Matches among 8 signals extracted from the pinned source changed from 0 to 3. Both actual outputs are shown; this is a structural observation, not a quality score or a universal performance claim.

Same test task

Create a launch deliverable for a privacy-first team collaboration product aimed at small engineering teams. Make it specific, usable, and ready for review. The deliverable must specifically reflect this user intent: 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,' 'copy this edit,' 'match this

Without the Skill
Screenshot of the actual model output for video without the Skill

Baseline: 2220 non-whitespace characters, 14 headings, and 53 list items.

With the Skill
Screenshot of the actual model output for video with the Skill

With Skill: 2527 non-whitespace characters, 13 headings, and 57 list items.

ObservationWithout SkillWith Skill
Source-signal coverage0/8: none3/8: video, production, programmatic
Output structure2220 chars · 14 headings · 53 list items · 0 code blocks2527 chars · 13 headings · 57 list items · 0 code blocks
Verification and caution signals0 verification signals · 7 risk/limitation signals1 verification signals · 6 risk/limitation signals

A prompt you can use

Use the video Skill pinned at c6ea12834be6 for my task. Follow its source-specific constraints around `video`, `starting`, `production`, `approach`, then return the finished deliverable with explicit assumptions, verification, failure conditions, and limits. Do not treat the Skill text as a factual source or claim that a single demonstration proves universal performance.

Method and limitationsExpand

Test method

  • Baseline and treatment used the same task, model (gpt-5.3-codex-low), and runner; the only planned difference was whether the complete target Skill text was injected.
  • The treatment used snapshot 7868cb9251fad80a73d26e488a5ad5f6c4a9f335; the current source commit c6ea12834be62bdc4180a1385f6455cde84ae60c was verified against content hash ea3b3fa4fe84. The baseline explicitly prohibited loading any Skill or external rule file.
  • The same deterministic script counted characters, headings, lists, code blocks, verification terms, caution terms, and source signals in both artifacts. Source signals: `video`, `starting`, `production`, `approach`, `technical`, `context`, `choosing`, `programmatic`.
  • The visuals are local screenshots of the actual Markdown artifacts in a fixed 1200 × 800 evidence canvas, not recreated product mockups. Raw JSON artifacts and request records are retained in the research directory.

Do not over-read this demo

  • This is one controlled demonstration per condition, not a multi-run statistical benchmark; the model is stochastic.
  • Character, structure, and keyword counts show observable differences but cannot by themselves prove correctness, originality, or business impact.
  • The task is a representative test designed for repeatability, not every real-world use of the Skill; rerun after a material source change.
Editorial review
SkillSignal editorial
Runner
Cursor Agent 2026.07.09-a3815c0
Model
gpt-5.3-codex-low
Refresh due
2026-11-18
Reviewed commit
c6ea12834be62bdc4180a1385f6455cde84ae60c
Test snapshot
7868cb9251fad80a73d26e488a5ad5f6c4a9f335

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/coreyhaines31/marketingskills --skill "skills/video"
Safe inspection promptEditorial

Inspect the Agent Skill "video" from https://github.com/coreyhaines31/marketingskills/blob/becd60ee9df07f7d595c26e092253ba49f7a9ffc/skills/video/SKILL.md at commit becd60ee9df07f7d595c26e092253ba49f7a9ffc. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Repurposing Workflow

    Review the “Repurposing Workflow” section in the pinned source before continuing.

    Review and apply the “Repurposing Workflow” source section.
  2. 02

    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 c…

    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?
  3. 03

    1. Video Goal

    What type of video? (Product demo, explainer, testimonial, social clip, ad, tutorial)

    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?
  4. 04

    2. Production Approach

    Do you need a human presenter? (AI avatar vs. voiceover vs. screen recording)

    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)
  5. 05

    3. Technical Context

    What's your tech stack? (Node.js, Python, etc.)

    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)

Permission review

Static risk signals and limitations

Runs scripts

medium · line 53

The documentation asks the agent to run terminal commands or scripts.

npm install hyperframes

Runs scripts

medium · line 82

The documentation asks the agent to run terminal commands or scripts.

npx create-video@latest

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score93/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars45,511SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guidetested outcome pageTestedGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
coreyhaines31/marketingskills
Skill path
skills/video/SKILL.md
Commit
becd60ee9df07f7d595c26e092253ba49f7a9ffc
License
MIT
Collected
2026-08-25
Default branch
main
View the original SKILL.md

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:

ApproachBest ForToolsWhen to Use
ProgrammaticTemplated, data-driven, batch videoRemotion, HyperframesProduct updates, personalized videos, recurring content
AI GenerationOriginal footage from text/image promptsVeo 3, Sora 2, Runway, Kling, SeedanceB-roll, hero shots, creative visuals you can't film
AI AvatarsTalking-head presenter without filmingHeyGen, SynthesiaExplainers, tutorials, multilingual content
Editing/RepurposingCutting long-form into short clipsDescript, Opus Clip, CapCutPodcast/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

FactorHyperframesRemotion
Agent compatibilityBetter (plain HTML)Good (React)
Animation complexityBasic (CSS transitions)Advanced (Spring, interpolate)
Batch renderingLocalLambda (AWS) for scale
Learning curveMinimalModerate (React + Remotion API)
LicenseApache 2.0Company 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

ModelResolutionMax DurationBest ForCost
Veo 3 (Google)Up to 1080p (4K varies)VariableTop overall quality, synced audioAPI-based
Sora 2 (OpenAI)Up to 1080pUp to ~20 secCinematic + synced audio, ChatGPT/API integrationAPI + ChatGPT
Runway Gen-4Up to 4K~10 sec/genMotion control, temporal consistency, edit-style workflows$12-76/mo
Kling 2.5/3.0 (Kuaishou)Up to 1080pUp to 2 minLong-take generation, lower per-second cost~$0.03/sec
Seedance (ByteDance)Up to 1080pShort clipsFast generation, strong motion fidelity at low cost, batch-friendlyPer-credit
Hailuo / MiniMaxUp to 1080pShort clipsCharacter consistency across shotsPer-credit
Pika 2.x1080pShort clipsQuick effects, image-to-video, lower bar to entryPer-credit
Hunyuan Video / Wan 2720p–1080pVariableOpen-source self-hosted; full control, no API feesFree (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 CaseAI GenerationStock Footage
Exact scene you imaginedYesRarely matches
Consistent style across clipsYesHard to match
Recognizable real locationsNo (hallucinations)Yes
Specific products/brandsNo (use programmatic)No
Quick B-rollEither worksFaster

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.

PlanVideosDuration
Free3/mo3 min max
CreatorUnlimited5 min
BusinessUnlimited20 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

ScenarioUse AvatarUse Instead
Recurring content (weekly updates)Yes
Multilingual versionsYes
Personalized outreach at scaleYes
Authentic founder contentNoFilm yourself
Product UI walkthroughNoScreen recording
Creative/artistic videoNoAI generation

Editing & Repurposing Tools

Turn existing content into multiple video formats.

ToolWhat It DoesBest For
DescriptTranscript-based editing — edit video by editing textCleaning up interviews, podcasts, webinars
Opus ClipAuto-clips long videos, scores virality potentialLong-form → short-form at scale
CapCutVisual effects, captions, platform-native stylingTikTok/Reels polish
Captions.aiAuto-captions, eye contact correction, AI dubbingSolo 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

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

ToolTypeMCPGuide
HeyGenAI avatarsYesheygen.md
HyperframesProgrammatic video-hyperframes.md
RemotionProgrammatic video-remotion.dev
RunwayAI 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

Frequently asked questions

What to verify before installation and use

What does the video source document cover?

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.

How do I install video?

The source record exposes this install command: npx skills add https://github.com/coreyhaines31/marketingskills --skill "skills/video". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged exec-script in the source; the page lists the matching lines and excerpts.

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