Youtube Video Kit logo

Youtube Video Kit

CommunityPopular
huytieu
youtube-video-kit

Produce YouTube-ready video packaging: a branded thumbnail, an animated opening title, background music via ElevenLabs Music, and the upload metadata bundle. Use whenever you make or publish a video (deep dives, demos, blog companions) or want thumbnails, intros, video music, or channel and playlist consistency.

Overview

Publisherhuytieu
RepositoryCOG-second-brain
Skill nameyoutube-video-kit
Stars
1.3K
Forks
162
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by huytieu on GitHub. Read the source before you install it.

Installation

Install the Youtube Video Kit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/huytieu/COG-second-brain/tree/main/.claude/skills/youtube-video-kit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/huytieu/COG-second-brain.git /tmp/COG-second-brain
mkdir -p .claude/skills
cp -r /tmp/COG-second-brain/.claude/skills/youtube-video-kit .claude/skills/youtube-video-kit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Video Kit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Youtube Video Kit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Youtube Video Kit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

YouTube video kit

Package videos like a channel, not a screen recording. The template fuses two reference styles: cinematic stills with minimal text (the Anthropic channel) and dark IDE screenshots with huge boxed text, one accent word, readable at 320px (AI-coding channels). It uses the dark lane-art language from the social-media-kit skill.

Configuration

Scripts read environment variables, so nothing personal is hardcoded.

SettingEnv varDefault
Signature text (bottom-left)BRAND_URLyourblog.example
Avatar PNG with a white background (optional)AVATAR_PATHunset (no avatar drawn)
Accent word colorACCENTD97757 (terracotta, configurable)
FontsHEADLINE_FONT, MONO_FONTmacOS Helvetica Neue and Menlo, DejaVu on Linux
Opening eyebrow and chip textOPEN_EYEBROW, OPEN_CHIPexample strings
ElevenLabs keyELEVENLABS_API_KEYnone, required for music

Your channel ID, handle and avatar belong in your own config.

Requirements

  • Python 3 with Pillow
  • ffmpeg
  • ELEVENLABS_API_KEY for music generation
  • A CDP-driven Chrome logged in to YouTube Studio, for publishing (for example the browser-harness skill)

Thumbnail

scripts/ytthumb.py, 1280x720 (rendered at 2560x1440, then downscaled). Keep the template identical across a playlist and vary only headline, accent word and lane pattern.

  • Background #0A0B0D plus lane art on the right third, with green and red end dots.
  • Your avatar, if you set one, is keyed (white above 235 becomes transparent), resized with NEAREST, and placed bottom-right over the lanes. Use one consistent avatar as the channel identity rather than varying photo cutouts.
  • Headline: 2 lines at most, about 5 words, bold sans around 210px at 2x, white, with one accent word. It must stay legible at 320px wide (squint test).
  • One mono chip with real numbers and a green dot.
  • Signature and a cursor block, bottom-left.
bash
AVATAR_PATH=./avatar.png BRAND_URL=myblog.dev python3 .claude/skills/youtube-video-kit/scripts/ytthumb.py "MY AI TESTS|MY PRODUCT." AI "7 passed · 4 failed" thumb.png

Opening title

scripts/ytopen.py [out.mp4] renders 4.2s at 30fps, 1920x1080, with PIL frames piped to ffmpeg (rawvideo to libx264 crf 19). Sequence: lanes draw in, staggered (0-1.2s); eyebrow (0.6s); headline fades in by line (0.9, 1.2, 1.5s, accent word colored); chip (2.2s); avatar rises (1.6-2.6s); signature with a blinking cursor (2.6s); 0.5s fade to black. Edit HEAD in the script for the headline.

To join it to the main video, give the opening a silent AAC track (-f lavfi -i anullsrc=r=44100:cl=mono -shortest) matching the main video's audio params, then use the concat demuxer with -c copy.

Music with ElevenLabs

bash
curl -X POST "https://api.elevenlabs.io/v1/music" \
  -H "xi-api-key: $ELEVENLABS_API_KEY" -H "Content-Type: application/json" \
  -d '{"prompt": "<style prompt>", "music_length_ms": 250000}' -o bgm.mp3

Check that your plan includes the Music API first. For a narration bed, ask for "very minimal, unobtrusive, no melody hooks, no vocals". Mix the bed about 20dB under the voice-over, and louder only during the title:

bash
ffmpeg -i video.mp4 -i bgm.mp3 -filter_complex \
 "[1:a]atrim=0:<dur>,volume='if(lt(t,4.2),0.45,0.13)':eval=frame,afade=t=in:d=1.2,afade=t=out:st=<dur-3>:d=3[bg];\
  [0:a][bg]amix=inputs=2:duration=first:normalize=0[a]" \
 -map 0:v -map "[a]" -c:v copy -c:a aac -b:a 160k out.mp4

Sanity check with volumedetect on a narration window: mean near -25dB, max at or above -6dB. Store generated tracks durably so a playlist reuses the same music family.

Storyboarding: illustrate, do not slide

The principle: every frame should show the concept being narrated, not print it. A text-list frame is a slide, and viewers skim it.

  • For each voice-over sentence ask "what is the picture of this idea?" A loop that eats itself gets a drawn loop. Two lanes converging get drawn converging. Fall back to typography only for the one or two anchor statements.
  • Screenshots count as illustration only with a guided camera: a cursor moving to the thing discussed, click ripples, a highlight wrapping the exact row, zooms. A static screenshot is a slide.
  • Voice-over pacing: on non-illustration frames (rules, recaps, quotes) narrate faster, with shorter sentences or trimmed silence. Slow down only where the visual needs watching time (footage, terminal replay). A boring frame with slow narration is the biggest drop-off combination.
  • Animation speed: cursor hops 0.4s or less, element fade-ins 0.5s or less, and no static frame longer than 2.5s without something moving (cursor, spinner, highlight pulse).

Shot-segment QA before assembling

A highlight box once shipped floating over empty page space because its coordinates were guessed. Every screenshot segment passes this before concat:

  1. Highlights are in card coordinates (the screenshot scaled to card width). Cursor waypoints are in screen coordinates. Do not mix them.
  2. A highlight wraps one actual UI row or element edge to edge. It never slices through a row or floats in whitespace. Snap it to the real bounding box read off the image.
  3. Audit before rendering: paste the highlight rect onto the scaled screenshot with PIL and look at it. After rendering, extract a frame at each highlight's midpoint (ffmpeg -ss <t> -frames:v 1) and look at it.
  4. Highlights must not overlap zoom windows. The highlight rect does not scale with zoom, so end it before the zoom starts.
  5. Cursor waypoints and click ripples land on the element being narrated, not in dead space.

Upload bundle and Studio publishing

Per video, keep in the kit folder: the final mp4, the thumbnail PNG, and youtube-description.txt (hook line, chapters, blog link first, skill links, tags). Title formula: benefit, plus the named product, plus the "AI agent" keyword, 70 characters or fewer. For playlist consistency use the same thumbnail template, the same opening and the same music family.

To publish through YouTube Studio in a logged-in Chrome (your own channel):

  • The upload dialog's file input is sometimes in shadow DOM. Use cdp("DOM.performSearch", query="input[type=file]") plus DOM.setFileInputFiles by nodeId.
  • Title and description boxes are #textbox elements: select all, then type.
  • Thumbnail: input#file-loader.
  • Audience: click the VIDEO_MADE_FOR_KIDS_NOT_MFK radio through JS .click().
  • Playlist: the dropdown checkbox in the dialog.
  • Advance: #next-button three times through JS click. Set visibility with the PUBLIC radio through JS .click(), then #done-button.
  • Deleting an old upload: video edit page, Options, Delete, consent checkbox, Delete forever.
  • Replacing a video file creates a new video ID, so update every posted link. An X reply must be deleted and reposted. LinkedIn posts and Reddit comments are editable.

Definition of done

  • Thumbnail passes the 320px squint test, with signature (and avatar if you use one)
  • Opening uses the channel animation, and terminal shots follow the terminal-replica skill
  • Music bed generated, mixed and level-checked, and tracks stored durably
  • Upload bundle complete for manual publish

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Youtube Video Kit AI skill do?

Produce YouTube-ready video packaging: a branded thumbnail, an animated opening title, background music via ElevenLabs Music, and the upload metadata bundle. Use whenever you make or publish a video (deep dives, demos, blog companions) or want thumbnails, intros, video music, or channel and playlist consistency.

Why use Youtube Video Kit on TypingMind?

Because you install it once and use it with any model. Youtube Video Kit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Youtube Video Kit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huytieu/COG-second-brain/tree/main/.claude/skills/youtube-video-kit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Youtube Video Kit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Youtube Video Kit?

As many as you like. As long as a model supports skills, you can use Youtube Video Kit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Youtube Video Kit AI skill free?

Yes. It is published on GitHub by huytieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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