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Yuv Reel Covers

Community
hoodini
yuv-reel-covers

Generate unified, on-brand Instagram Reel covers for Yuval (YUV.AI Neon Phoenix system) — the signature look is a giant Hebrew headline BEHIND the subject cutout + a punch line IN FRONT (depth effect), on rich black with a dim neural-net field, series-colored chip + phoenix mark. Use whenever Yuval asks for an Instagram/Reel/TikTok/YouTube cover, thumbnail, עטיפה, קאבר, תמבנייל, cover image for a video, or wants his Instagram grid to look consistent. One command per cover; background removal included in the pipeline.

Overview

Publisherhoodini
Repositoryai-agents-skills
Skill nameyuv-reel-covers
Stars
280
Forks
62
Bundled files
12
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.

  • 12 bundled files

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

  • Open source

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

Installation

Install the Yuv Reel Covers 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.
  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/hoodini/ai-agents-skills.git /tmp/ai-agents-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agents-skills/skills/yuv-reel-covers .claude/skills/yuv-reel-covers
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yuv Reel Covers 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 Yuv Reel Covers 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 Yuv Reel Covers 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.

yuv-reel-covers

Unified Reel-cover system so the Instagram grid reads as ONE brand. Canvas 1080×1920, all key content inside the 3:4 grid-crop safe zone (y 285–1635).

v2 — Editorial Poster system (THE standard; read style-spec.md first)

Reverse-engineered from the SHELLY sports-editorial + cinematic posters Yuval loves. Two new templates in gen_cover.py: editorial (giant skewed condensed type front/behind the cutout, ✦ ticker strips, power-word stack + line icons, neon yellow #E9FF3D on vivid sky/sunset/ink) and cinema (pink/cyan split-light duotone, white type behind the head). Auto-fits type to width, Hebrew (Rubik 900) and English (Anton) both supported.

  • Cover Studio app — LIVE at https://hoodini.github.io/yuv-cover-studio/ (also cover-studio.html for offline). Drop photo + cutout, type headline, live preview, Export 1080×1920 / 1080×1350 PNG. Includes an AI PROMPTS tab that writes Midjourney/Flux/Nano-Banana-2 prompts in the exact style (prompts.md has the master formulas + the hybrid pipeline).
  • Headless: py gen_cover.py editorial --bg sky --cutout assets/yuval-cutout.png --back "STEAL MY|PROMPTS" --ticker "ALL DAY,EVERY PLAY,NO LIMITS" --stack "FOCUS,ENERGY,DISCIPLINE,VICTORY" --tag "AI" --cut-h 1060 --out my-cover

v1 templates (behind / stack) — legacy, still available below.

The formula (what makes the grid uniform)

  • Always: rich-black #0A0A0A ground + dim neural-net field + vignette. Never white, never a raw screenshot.
  • Series chip (top-left, mono, outline pill) + phoenix mark (top-right) — SAME positions every cover.
  • Series colors (this is the variety inside the uniformity): pink #FF1464 = news / hot takes / Claude · cyan #00E5FF = tutorials / dev · amber #F9AD45 = fun / wildlife.
  • behind template (the signature): giant Rubik-900 headline (1–3 words, auto-sized), one word in the series color, partially BEHIND the subject cutout; punch line IN FRONT at chest level (--front-top, default 1285). Cutout gets a series-color rim glow.
  • stack template (no photo): giant glowing Anton/Rubik stacked text + Rubik subtitle — for tool/code covers (e.g. "CLAUDE CODE / המדריך המלא").
  • Handle @yuval_770 · YUV.AI bottom-center, small mono.

How to run (from this skill's folder or any project with assets/+fonts/ copied)

powershell
# 0) prereqs: Node 22+, FFmpeg. Builder is pure-stdlib Python (py on Windows, python3 on Mac).
# 1) one-time per new photo — local AI background removal:
npx --yes hyperframes@latest remove-background photo.png -o assets/cutout.png
# 2) generate a cover (renders headless via HyperFrames -> PNG):
py gen_cover.py behind --img assets/cutout.png --back "קלוד דסקטופ" --front "משנה הכל!" `
   --accent-back 1 --color pink --tag "CLAUDE · AI" --out my-cover
py gen_cover.py stack --back "CLAUDE CODE" --sub "המדריך המלא" --accent-back -2 --color cyan --tag DEV --out cc

Args: --accent-back N = which word of the BACK text gets the series color (-1 none, -2 all); --size-back overrides auto-fit; --front-top moves the front line (keep at chest, never the face). A default cutout of Yuval (studio) ships in assets/yuval-cutout.png.

Rules for the agent

  1. Headline ≤3 words back + ≤2 words front. If longer — rewrite tighter; this is a poster, not a caption.
  2. Pick the series color by content type (mapping above) — don't mix colors in one cover.
  3. Front text must NOT cover the face — chest level only; adjust --front-top if the photo differs.
  4. New photo ⇒ remove-background FIRST (step 1); never paste a rectangular photo.
  5. Read the rendered PNG and check: headline readable behind the head, chip+phoenix inside safe zone, nothing critical above y=285 or below y=1635.
  6. Hebrew glyphs come from the bundled Rubik subset — exotic punctuation may be missing; refetch with builders/fetch_hebrew_fonts.py from yuv-video-director if needed.

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 Yuv Reel Covers AI skill do?

Generate unified, on-brand Instagram Reel covers for Yuval (YUV.AI Neon Phoenix system) — the signature look is a giant Hebrew headline BEHIND the subject cutout + a punch line IN FRONT (depth effect), on rich black with a dim neural-net field, series-colored chip + phoenix mark. Use whenever Yuval asks for an Instagram/Reel/TikTok/YouTube cover, thumbnail, עטיפה, קאבר, תמבנייל, cover image for a video, or wants his Instagram grid to look consistent. One command per cover; background removal included in the pipeline.

Why use Yuv Reel Covers on TypingMind?

Because you install it once and use it with any model. Yuv Reel Covers 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 Yuv Reel Covers in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoodini/ai-agents-skills/tree/master/skills/yuv-reel-covers. 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 Yuv Reel Covers?

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 Yuv Reel Covers?

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

Is the Yuv Reel Covers AI skill free?

It is published on GitHub by hoodini. Check the repository for licensing terms. 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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