Showcase Feature Highlight logo

Showcase Feature Highlight

Community
melgarafael
showcase-feature-highlight

Feature Highlight showcase — zoom-in spotlight on a single key feature using hotspot pulses, glassmorphism cards, tooltips, and particle accents. Routed from remotion-pro orchestrator.

Overview

Publishermelgarafael
RepositorygrowthOS
Skill nameshowcase-feature-highlight
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 Feature Highlight 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-feature-highlight
  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-feature-highlight .claude/skills/showcase-feature-highlight
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Showcase Feature Highlight 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 Feature Highlight 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 Feature Highlight 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: Feature Highlight

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 Feature Highlight showcase creates a focused, cinematic spotlight on a single product feature. The full UI appears, a hotspot pulses to draw attention, the camera zooms into the feature area, a tooltip explains it, and the particle effect celebrates the reveal. Designed for feature release announcements, changelog updates, and "did you know?" content.

Best for: feature announcements, changelog videos, product updates, onboarding highlights, "tip of the week" content.


Components Used

ComponentPurpose
GlassmorphismCardFrames the feature name and description overlay
ZoomRevealCinematic zoom into the feature region
HotspotPulsing ring/dot that draws attention to a UI element
BrowserFrameWraps the product screenshot in a browser chrome
ParticleEffectAccent particles on the zoom reveal moment
TooltipFloating label explaining what the feature does

Scene Flow

Hook (2-3s)
  └── "Introducing [Feature Name]" headline
      GlassmorphismCard fades in with feature name
      
Screen Appears (2s)
  └── BrowserFrame slides in with full product screenshot
      Feature is visible but not yet highlighted
      
Hotspot Pulses (2-3s)
  └── Hotspot ring animates over the target UI element
      Pulsing draws viewer's eye to the exact location
      
Zoom (2-3s)
  └── ZoomReveal magnifies into the feature area
      ParticleEffect accents the zoom moment
      
Tooltip (3-4s)
  └── Tooltip floats in explaining the feature
      Key benefit statement in clear language
      
CTA (3-4s)
  └── Zoom out, GlassmorphismCard with CTA appears
      "Try it now" or "Available in [plan]"

Total Duration: 20–45 seconds


Required Config

yaml
# From video-profile.yaml or briefing
feature:
  name: "Smart Scheduling"
  tagline: "Book meetings without the back-and-forth"
  benefit: "Saves 3+ hours per week"

screenshot: "assets/screenshots/dashboard.png"
hotspot:
  x: 420          # pixel x from left
  y: 280          # pixel y from top
  radius: 40
  
zoom:
  target_x: 420
  target_y: 280
  zoom_factor: 2.5

tooltip_text: "Click to auto-schedule based on availability"

device_frame: browser | none
cta_text: "Available on all plans — try free"
primary_color: "#7C3AED"
accent_color: "#F59E0B"

Stub Response

When a user requests this showcase, display:

✨  FEATURE HIGHLIGHT SHOWCASE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
This showcase is coming in Wave 3 of GrowthOS Remotion Pro.

What it will produce:
  • Full UI screenshot with browser frame
  • Pulsing hotspot drawing attention to the feature
  • Cinematic zoom-in with particle accent
  • Tooltip explanation of the feature benefit
  • Branded CTA closing sequence
  • Duration: 20–45 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 Feature Highlight AI skill do?

Feature Highlight showcase — zoom-in spotlight on a single key feature using hotspot pulses, glassmorphism cards, tooltips, and particle accents. Routed from remotion-pro orchestrator.

Why use Showcase Feature Highlight on TypingMind?

Because you install it once and use it with any model. Showcase Feature Highlight 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 Feature Highlight in TypingMind?

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

Which AI models can use Showcase Feature Highlight?

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 Feature Highlight?

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

Is the Showcase Feature Highlight 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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