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Model Showdown

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charlie947
model-showdown

Give the same motion brief to three AI models, keep each first try, render all three the same way and stack them into one comparison video with model names and logos. Makes a 16:9 side-by-side for a newsletter and a 1080 x 1920 stacked reel for Instagram and TikTok. Use when someone says "compare three models", "same prompt three AIs", "model showdown", "which AI is the best motion designer", "side by side comparison video" or wants a fair head-to-head of AI outputs.

Overview

Publishercharlie947
Repositorymotion-graphics-skills
Skill namemodel-showdown
Stars
428
Forks
62
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by charlie947 on GitHub. Read the source before you install it.

Installation

Install the Model Showdown 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/charlie947/motion-graphics-skills/tree/main/skills/model-showdown
  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/charlie947/motion-graphics-skills.git /tmp/motion-graphics-skills
mkdir -p .claude/skills
cp -r /tmp/motion-graphics-skills/skills/model-showdown .claude/skills/model-showdown
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Model Showdown 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 Model Showdown 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 Model Showdown 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.

Model showdown, three AIs on one brief

A fair test people can see for themselves. One brief, three models, first try each, one renderer.

Before you start: read brand.md and MOTION.md if they exist. If not, run brand-intake first, or ask for hex codes, a font and a logo file. Never call a result on-brand without them. The brand applies to the headline and labels, never to the models' outputs.

Step 1: Ask for four things, then wait

  1. The brief, word for word. Every model gets the exact same text.
  2. The three models, named exactly as their makers write them, and how the user reaches each one (their own accounts only).
  3. The logo files for each model, attached. Never redrawn from memory.
  4. The headline, two short lines. Example: "Same prompt." / "Three AI models."

Step 2: The fair-test rules

  • First try only. No re-rolls, no fixes, no "one more go" for the one you hoped would win.
  • The models write HTML, you render it. Add this to the brief so no model gets a better export:
Deliver ONE self-contained index.html, [WIDTH] x [HEIGHT] px. Output the complete HTML only. A shared renderer will execute window.seek(t) and export each model's output at the same settings.
Implementation: deterministic window.seek(seconds), wrap modulo [SECONDS], every visual state derived from time. Automatic playback when not in ?render mode. Under ?render freeze until seek. Set window.__ready=true after initialisation. No external requests. Do not add controls, debug text, the model name or screenshots.
  • Same renderer, same settings for all three: same size, 30fps, same length, same encoder.
  • A failure stays in. If a model returns broken HTML or nothing, its panel says so. Never swap in a later try.

Step 3: Stack them

Newsletter (16:9): three panels side by side, each with its model name above it on a plain strip.

Reel (1080 x 1920): three 1080 x 360 panels stacked at y 540, 900 and 1260, over a dark background. Build a transparent 1080 x 1920 overlay.png in HTML holding the headline and the three labels, then:

ffmpeg -y -i a.mp4 -i b.mp4 -i c.mp4 -loop 1 -i overlay.png -f lavfi -i anullsrc=r=48000:cl=stereo -filter_complex "color=c=0x0B0B0F:s=1080x1920:r=30:d=12[bg];[0:v]fps=30,scale=1080:360:force_original_aspect_ratio=increase,crop=1080:360,setsar=1[a];[1:v]fps=30,scale=1080:360:force_original_aspect_ratio=increase,crop=1080:360,setsar=1[b];[2:v]fps=30,scale=1080:360:force_original_aspect_ratio=increase,crop=1080:360,setsar=1[c];[bg][a]overlay=0:540[t1];[t1][b]overlay=0:900[t2];[t2][c]overlay=0:1260[t3];[t3][3:v]overlay=0:0,scale=out_color_matrix=bt709:out_range=tv,format=yuv420p[out]" -map "[out]" -map 4:a -t 12 -c:v libx264 -crf 18 -pix_fmt yuv420p -color_range tv -colorspace bt709 -color_primaries bt709 -color_trc bt709 -c:a aac -b:a 128k -movflags +faststart showdown-reel.mp4

Change d=12 and -t 12 to your length. The crop keeps the centre, so check one frame per panel and move the crop if the action sits off-centre.

What I learned the hard way

  • A logo over footage vanishes on light frames. Every label (logo plus model name) sits on its own dark rounded tile in the top-left of its panel.
  • Safe zone. The headline sits between y 360 and 520. No word or logo goes below y 1420 or into the right 120px, where the app draws its buttons and caption.
  • Label with the full model name, version included. "Opus 5.5", not "Claude".
  • End the caption on a question. Mine asked "Which one would you post?" and gave my own pick.

Step 4: Check and export

Pull one frame from the middle. Can you read every label at phone size? Is each logo the right company? Then run the checks in reel-export before you upload.

Frequently asked questions

What does the Model Showdown AI skill do?

Give the same motion brief to three AI models, keep each first try, render all three the same way and stack them into one comparison video with model names and logos. Makes a 16:9 side-by-side for a newsletter and a 1080 x 1920 stacked reel for Instagram and TikTok. Use when someone says "compare three models", "same prompt three AIs", "model showdown", "which AI is the best motion designer", "side by side comparison video" or wants a fair head-to-head of AI outputs.

Why use Model Showdown on TypingMind?

Because you install it once and use it with any model. Model Showdown 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 Model Showdown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/charlie947/motion-graphics-skills/tree/main/skills/model-showdown. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Model Showdown?

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 Model Showdown?

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

Is the Model Showdown AI skill free?

Yes. It is published on GitHub by charlie947 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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