Agent skill

Video

by Nexus-JPF in Nexus-JPF/note-companion

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks.

MITAuto-check passedMedia & Creative

Install Video

skills CLI
$ npx skills add Nexus-JPF/note-companion --skill video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Nexus-JPF/note-companion video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Nexus-JPF/note-companion.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/video .claude/skills/video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
video
GitHub stars
870
Used in
3 other repos
Token cost
~3.6k tokens
SKILL.md length
1,457 words
Files
4 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks.

  • Works in 3 steps: Video Goal → Production Approach → Technical Context
  • Wants to create
  • SKILL.md covers Before Starting, Choosing Your Approach, Programmatic Video and AI Video Generation, plus 8 more sections
  • Calls npm and npx

What it does

Video is an agent skill from Nexus-JPF/note-companion. 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 video style,'…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `evals/evals.json`, `references/ai-video-prompting.md` and `references/edit-anatomy.md`).

It sits in Media & Creative, covering AI video generation and Video production. It works with HeyGen, Remotion, Seedance and MiniMax. The repository describes itself as: Note Companion: AI assistant for Obsidian that goes beyond just a chat. (prev File Organizer 2000). The licence is MIT.

When your agent uses it

  • Wants to create
  • Produce video content using AI tools
  • Programmatic frameworks
  • The user mentions video production

Example prompts

  • “video production,”
  • “AI video,”
  • “Remotion,”
  • “/video”

Requirements

  • Node.js

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Video Goal
  2. Production Approach
  3. Technical Context

What it can do on your machine

Read from SKILL.md and the folder at commit 9cad635. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • heygen.com
    • remotion.dev
    • docs.dev.runwayml.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video loads about 3.6k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 192 tokens; SKILL.md has 1,457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~192
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Nexus-JPF/note-companion at commit 9cad635, republished under its MIT licence (© Nexus-JPF). 1,457 words, ~3,573 tokens.

Download SKILL.mdSave it as .claude/skills/video/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
video
description
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 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.
metadata.version
2.1.0

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.

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.

bash
npm install hyperframes

Key concept: Each frame is an HTML document. Compose frames into a timeline, render to MP4.

typescript
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.

bash
npx create-video@latest

Key concept: React components are frames. Props drive content. Render locally or via Remotion Lambda (AWS) for scale.

tsx
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.

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.

Show full SKILL.md (590 more words)Show less
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

  • 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

© Nexus-JPF, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in .agents/skills/video of Nexus-JPF/note-companion.

  • SKILL.md
  • evals/evals.json
  • references/ai-video-prompting.md
  • references/edit-anatomy.md

Open the folder on GitHubat commit 9cad635

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Nexus-JPF/note-companion, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video this skillNexus-JPF/note-companion8703 repos~3.6kAutomated safety check: PassMIT
Super Video MakerBomx/super-video-maker-skill309—~11kAutomated safety check: NotesNone
HyperFrames Video Entry Pointheygen-com/hyperframes59k3 repos~5.2kAutomated safety check: PassApache-2.0
Avatar Videocalesthio/OpenMontage66k—~1.6kAutomated safety check: PassAGPL-3.0
AI Video Gencalesthio/OpenMontage66k—~3kAutomated safety check: PassAGPL-3.0
AI Video Gencalesthio/OpenMontage66k—~2.8kAutomated safety check: PassAGPL-3.0

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All 18 skills in this repo
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  • Marketing Plan

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  • Competitor Profiling

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  • Onboarding

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  • Image

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Questions about Video

What does Video do?

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Video is an agent skill from Nexus-JPF/note-companion. When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks.

When should I use Video?

Video fits situations like: wants to create; produce video content using AI tools; programmatic frameworks; the user mentions video production.

How do I install Video in Claude Code?

Run `npx skills add Nexus-JPF/note-companion --skill video -a claude-code`. Or copy the skill folder (.agents/skills/video in Nexus-JPF/note-companion) into .claude/skills/video in your project. Claude Code loads it when a task matches its description.

How do I install Video in Codex?

Run `npx skills add Nexus-JPF/note-companion --skill video -a codex`. Or copy the skill folder (.agents/skills/video in Nexus-JPF/note-companion) into .agents/skills/video in your project. Codex loads it when a task matches its description.

Can I use Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Nexus-JPF/note-companion --skill video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video, .gemini/skills/video, .github/skills/video and .opencode/skills/video in your project.

What does Video need to run?

Going by SKILL.md and its folder, Video needs the command-line tools its instructions call (npm and npx). Our summary lists: Node.js.

Does Video access the network?

SKILL.md names 3 domains. As links in the text: heygen.com, remotion.dev and docs.dev.runwayml.com. This is read from the text; nothing was executed.

Is Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Video use?

Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Video?

Skills that share tags, products or a category with Video: Super Video Maker (Bomx/super-video-maker-skill, 309 stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars), Avatar Video (calesthio/OpenMontage, 66k stars) and AI Video Gen (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video?

Nexus-JPF (a GitHub organization) maintains it in Nexus-JPF/note-companion, which has 870 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 7, 2026.

Source: Nexus-JPF/note-companion on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.