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Showcase Before After

Community
melgarafael
showcase-before-after

Before/After UI showcase — split-screen wipe reveal comparing two product states, UI redesigns, or workflow improvements. Routed from remotion-pro orchestrator.

Overview

Publishermelgarafael
RepositorygrowthOS
Skill nameshowcase-before-after
Stars
58
Forks
33
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 melgarafael on GitHub. Read the source before you install it.

Installation

Install the Showcase Before After 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/melgarafael/growthOS/tree/main/skills/showcase-before-after
  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/melgarafael/growthOS.git /tmp/growthOS
mkdir -p .claude/skills
cp -r /tmp/growthOS/skills/showcase-before-after .claude/skills/showcase-before-after
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Showcase Before After 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 Showcase Before After 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 Showcase Before After 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.

Showcase: Before/After UI

Status: Stub — Full implementation in Wave 3

This showcase is planned for Wave 3 development. The stub reserves the skill slot, documents the specification, and displays the correct response to users who request it.


Overview

The Before/After UI showcase creates a compelling comparison video that reveals a transformation using a split-screen wipe effect. Shows two states side-by-side or sequentially — old vs new, manual vs automated, before vs after your product. Ideal for redesigns, productivity gains, and transformation narratives.

Best for: UI redesigns, workflow comparisons, productivity improvements, A/B test results, product transformations.


Components Used

ComponentPurpose
SplitScreenWipeAnimated wipe that reveals the "after" state from the "before"
ScreenshotOverlayLayers and transitions between the two screen states
BrowserFrameOptionally wraps both screens in browser frames
AnimatedTextLabels ("Before", "After"), stats, and result callouts

Scene Flow

Hook (2-3s)
  └── Problem statement or "before" label fades in

Before Screen (3-5s)
  └── "Before" screenshot appears in BrowserFrame
      AnimatedText labels it clearly
      
Wipe Reveal (2-3s)
  └── SplitScreenWipe sweeps across (left-to-right or center-out)
      Both states briefly visible simultaneously

After Screen (3-5s)
  └── "After" state revealed
      AnimatedText highlights key improvements
      
Result (2-3s)
  └── Stat or outcome callout (e.g., "60% faster")

CTA (3-4s)
  └── Branded CTA with product name or URL

Total Duration: 15–30 seconds


Required Config

yaml
# From video-profile.yaml or briefing
before:
  screenshot: "assets/screenshots/before.png"
  label: "Before"
  caption: "Manual process — 2 hours"

after:
  screenshot: "assets/screenshots/after.png"
  label: "After"
  caption: "With our tool — 5 minutes"

wipe_direction: left-to-right | right-to-left | center-out
result_stat: "95% time saved"
device_frame: browser | none
cta_text: "Start your free trial"
primary_color: "#7C3AED"

Stub Response

When a user requests this showcase, display:

⚡  BEFORE/AFTER UI SHOWCASE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This showcase is coming in Wave 3 of GrowthOS Remotion Pro.

What it will produce:
  • Split-screen wipe reveal comparison
  • Before and after screenshots with device frames
  • Result stat callout (e.g., "95% faster")
  • Branded CTA closing sequence
  • Duration: 15–30 seconds

To be notified when this is ready, check the GrowthOS
changelog or watch the growthOS/remotion/ directory for updates.

In the meantime, you can use the existing remotion-video skill
for general Remotion composition work.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Frequently asked questions

What does the Showcase Before After AI skill do?

Before/After UI showcase — split-screen wipe reveal comparing two product states, UI redesigns, or workflow improvements. Routed from remotion-pro orchestrator.

Why use Showcase Before After on TypingMind?

Because you install it once and use it with any model. Showcase Before After 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 Showcase Before After in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/melgarafael/growthOS/tree/main/skills/showcase-before-after. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Showcase Before After?

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 Showcase Before After?

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

Is the Showcase Before After AI skill free?

Yes. It is published on GitHub by melgarafael 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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