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Showcase

Organization
Factory-AI
showcase

Background knowledge for droid-control workflows -- not invoked directly. Visual polish for videos via Remotion-powered window chrome, animations, and branded backgrounds.

Overview

PublisherFactory-AI
Repositoryfactory-plugins
Skill nameshowcase
Stars
111
Forks
15
Bundled files
Instructions only
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 Factory-AI on GitHub. Read the source before you install it.

Installation

Install the Showcase 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/Factory-AI/factory-plugins.git /tmp/factory-plugins
mkdir -p .claude/skills
cp -r /tmp/factory-plugins/plugins/droid-control/skills/showcase .claude/skills/showcase
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Showcase 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 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 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 Polish

This atom describes the visual polish system. It is invoked by the compose atom — you should not need to invoke it directly. Load it when you need to understand what the presets look like and how the cinematic layers work.

What you control

You control the visual output by choosing a preset and passing props. Everything else is automatic — the Remotion components handle all cinematic layers internally based on the preset and palette.

Presets

Each preset configures window chrome, spacing, background style, and palette selection.

PresetLookBest for
factoryWarm black bg with amber radial glow, traffic-light dots, 12px radius, generous margins. Rich cinematic warmth.Official Factory content
factory-heroSame as factory + gradient background. Maximum cinematic punch.Factory landing pages, social media
heroCool gradient bg, large margins, prominent shadow.Non-Factory marketing, third-party
macosClean dark bg, traffic lights, subtle shadow. Professional but understated.General-purpose demos, README heroes
presentationBlack bg, generous margins. Designed to look good on slides.Talks, slide decks
minimalNo window bar, tiny radius, tight margins. Barely-there frame.Docs embeds, inline clips

What each preset automatically includes

Factory / factory-hero presets (warm palette):

  • Warm radial background vignette with amber glow blobs that intensify over video duration
  • Warm-tinted box shadow with faint accent glow halo
  • Warm color grade overlay (amber tint)
  • Floating particles in Factory Orange

All other presets (cool Catppuccin palette):

  • Cool-toned solid or gradient background
  • Neutral box shadow
  • Subtle cool color grade overlay
  • Floating particles in accent blue

All presets include: floating particles, noise texture overlay, color grade, motion blur title→content transition (configurable via transitionStyle), animated window entrance, staggered panel entrance (side-by-side), and optional codeAnnotations syntax-highlighted overlays during the main content sequence.

Visual palettes

Palette is auto-selected based on preset. Factory/factory-hero use the warm palette; everything else uses cool.

Factory (warm)

TokenHexRole
bg#0a0804Warm near-black
surface#18120eTerminal content bg
accent#EE6018Factory Orange
text#f0e8e0Warm white
muted#948781De-emphasized text

Catppuccin (cool)

TokenHexRole
bg#0d1117Cool dark
surface#181818Content bg
accent#89b4faBlue accent
text#cdd6f4Cool white
muted#6c7086De-emphasized text

Transition styles

transitionStyle selects the crossfade presentation. Schema lives in compose/SKILL.md; preset-tier matching:

PresetRecommended (default first)Avoid
factory, factory-heromotion-blur, light-leak, whip-pan, flashglitch-lite (clashes with warm tone)
hero, presentationmotion-blur, whip-pan, flashlight-leak (warm sweep clashes with cool palette)
macos, minimalmotion-blurglitch-lite, light-leak (too much personality for utilitarian frames)

codeAnnotations is preset-agnostic — palette and font stack are auto-derived. See compose/SKILL.md for schema and authoring rules.

Operational notes

Render time: ~1-3 minutes for a 30-60s video at 1920x1080. Set worker timeouts to 5 minutes.

Common failure modes:

  • Content truncated or a panel frozen early: clipDuration is the longest clip, probed by render-showcase.sh; a shorter clip holds its final frame. Trim or re-record the sources rather than editing clipDuration.
  • Missing clips in public/: render fails with "Could not read file." The render script stages clips into its own per-render directory; never run npx remotion render directly.
  • Missing npm dependencies: run cd ${REMOTION_DIR} && npm install if rendering fails on first use.

Debugging layout: render-showcase.sh --still <frame> renders one frame through the same normalization and staging as a full render (see compose/SKILL.md Step 3).

Cleanup: render-showcase.sh removes only the staged directory it created, on success, failure, or cancellation via Ctrl-C / process-group signal. A signal to the script's PID alone is deferred until the npx remotion child exits.

Rendering

Use the render script from compose — see compose/SKILL.md Step 3 for full usage:

bash
RENDER=${DROID_PLUGIN_ROOT}/scripts/render-showcase.sh

$RENDER --props "${RUN_DIR}/props.json" --output "${RUN_DIR}/showcase.mp4" "${RUN_DIR}/clip.mp4"

Advanced: GlitchTitle

A stylized glitch title card component exists at src/components/GlitchTitle.tsx for edgy/hacker-aesthetic intros (pixel-decay effect with scattered blocks assembling into text). This is NOT wired into the default Showcase composition. Using it requires writing a custom Remotion composition. Only pursue this if specifically requested — the standard TitleCard handles all normal use cases.

Prerequisites

  • Node.js (>= 18)
  • Chrome / Chromium (Remotion uses headless Chrome)
  • ffmpeg and ffprobe (Remotion uses these under the hood)
bash
cd ${DROID_PLUGIN_ROOT}/remotion && npm install

Frequently asked questions

What does the Showcase AI skill do?

Background knowledge for droid-control workflows -- not invoked directly. Visual polish for videos via Remotion-powered window chrome, animations, and branded backgrounds.

Why use Showcase on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Factory-AI/factory-plugins/tree/master/plugins/droid-control/skills/showcase. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Showcase?

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?

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

Is the Showcase AI skill free?

It is published on GitHub by Factory-AI. 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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