Adaptive Glass logo

Adaptive Glass

Community
alisadiq-ai
adaptive-glass

Style for edit-video: the real speaker with moving proof in footage-matched glass panels, centered captions and event-matched sound. Use for talking-head product, tool and explainer reels with real screen proof, or when the creator asks for the glass look.

Overview

Publisheralisadiq-ai
Repositoryfavstash-ai-video-editing-skills
Skill nameadaptive-glass
Stars
56
Forks
8
Bundled files
8
LicenseApache-2.0
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.

  • 8 bundled files

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

  • Open source

    Published by alisadiq-ai on GitHub. Read the source before you install it.

Installation

Install the Adaptive Glass 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/alisadiq-ai/favstash-ai-video-editing-skills/tree/main/skills/3-editing-styles/adaptive-glass
  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/alisadiq-ai/favstash-ai-video-editing-skills.git /tmp/favstash-ai-video-editing-skills
mkdir -p .claude/skills
cp -r /tmp/favstash-ai-video-editing-skills/skills/3-editing-styles/adaptive-glass .claude/skills/adaptive-glass
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adaptive Glass 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 Adaptive Glass 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 Adaptive Glass 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.

Adaptive glass

A style on top of edit-video, which owns the cut, captions, sound and review. The finish for talking-head product, tool and explainer reels: the real speaker, moving proof, a palette taken from the footage, centered captions, selective modern glass and sound that follows visible events. Use it when the creator chooses it or has no established look. Their own fonts, colors and references take priority. Full camera, split screen and full proof are layouts within the style, not separate styles.

Skip it for material that needs no panels: a personal reflection, a joke over footage or a long screen demo that needs the whole canvas.

Layouts follow the material

LayoutUseStarting geometry at 1080×1920
Full cameraA direct statement, reaction or turn with no useful assetCamera fills the canvas; captions in the headroom
Half splitProof or a diagram reads clearly above the speakerContent above y=960; camera pane y=960–1920
Third splitProof needs more height and the face stays completeCamera pane from about y=1120
Full proofClose UI detail, dense text, a result or an animationCamera hidden; enlarge or reframe the useful detail

Start proof-heavy reels with the half split when the proof stays readable. Full screen has to earn its area; small proof over a large empty background means the face should come back. Screen recordings fill their pane edge to edge (media-bleed), without a nested card or heading. Change layout on spoken beats or reveals. Open on the hook's subject: frame 1 should already show the product or proof, not an empty panel.

Face treatment

Use the actual camera plate, keep its aspect ratio and set the crop from real frames of each take. The split pane blends through spare headroom: transparent at the top edge, about 12% opaque at 65 px, 55% at 160 px and solid at 270 px, with a 75 px side feather. Keep eyes and mouth sharp, keep the whole face in the pane and check the blurred fill for a second ghost face. Full and split camera layers are never visible together outside a deliberate transition. A tension hook can use a fast, obvious push; compare first and peak frames, because a speaker leaning back can cancel a digital zoom.

Palette from the footage

Inspect the shirt, room, skin and proof separately. A dark shirt suits a lighter related field; a light shirt may need a deeper one. The starting palettes are soft-violet, deep-violet and charcoal; choose one per reel with palette and override individual tokens with a paletteFile. Keep one color family, use dark heading ink on a light field and light text on deep glass, and use red or green only when they mean something. Polish the camera plate from the take (exposure, white balance, natural skin) before judging colors.

Material

  • glassMaterial: "optical" for main panels, "soft" for supporting information; glassTone: "dark" or "light". Set them for the whole plan or per scene.
  • One quiet 1 px perimeter and 28–36 px corners. No stacked corner strokes. Nested media corners are concentric: inner radius ≈ outer radius minus the inset.
  • Keep a glass surface at full opacity while it enters and move it instead, about 18 px over .42 s with an ease-out. Fading an ancestor changes what the backdrop samples and makes the blur pop. Fade text separately if needed.
  • At most one low sweep after an optical panel settles, and only when the shot is long enough. Never a perpetual shimmer. Keep the blur stable.
  • The CSS is optical styling, not refraction. For liquid-glass lensing, morphs or a named effect, search the HyperFrames registry (hyperframes catalog), inspect the item and render-test it in the project. If true fluid merging does not render reliably, use an honest shared-shape expansion and say so.
  • Proof footage stays unobscured. Full proof is content, not a frosted panel.

Motion

Carry one surface through connected states: a chip becomes a panel, a panel slides into a new position, related shapes join or split when the explanation calls for it. Tie each move to a spoken beat or visible action. Small arrivals take about .3–.5 s and larger shared-shape transitions .45–.8 s, followed by a readable hold. Use continuous velocity and a restrained settle; avoid a universal bounce, robotic linear slides and repeated identical pop-ins. Words stay stable while their surface moves. Every rendered state comes from timeline time.

Type and captions

Helvetica Neue Bold is the default, with Helvetica and Arial as fallbacks. Use an installed font and confirm the renderer used it; never commit system font binaries. Captions are usually one or two lines at about 54 px on a 1080-wide export; panel headings 52–76 px with few words; source labels 24–30 px. Headings, eyebrows and footers are optional. Alongside captions, allow at most one short extra emphasis.

Starting caption anchors (fraction of height): full camera .235, half split .55, third split .595, full proof .60–.615. Two-line captions overflow easily, so measure the rendered box, backing and shadow against edit-video's safe area. The scaffold writes these anchors and a starting caption style to captions.json for the captioning tool.

Sound map

Use edit-video's curated sounds (assets/sfx/) and the gains in its manifest as starting points:

Visible eventSoundTiming
Frame 1 of the hookcurated/hook-impact.wavOn the opening frame
Large layout or camera changecurated/camera-shutter.wavAbout 4 frames before the cut
Small framing or take changecurated/camera-shutter-light.wavAbout 2 frames before
Panel or element arrivalcurated/ui-pop.wavOn the arrival frame
Visible click or selectioncurated/ui-click.wavOn the click
Motivated zoom, crop or pancurated/zoom-swish.wavIts rise follows the move
Build into a revealcurated/metallic-riser.wavTrim or stretch it to resolve on the reveal
Earned completionclean-ding.wavSparingly

Keep speech dominant and make demonstrated clicks and reveals audible. Put each cue family on its own track so overlapping cues are not replaced, merge cues fewer than about 6 frames apart and keep ordinary caption changes silent.

Build the visual layer

  1. Prepare the camera plate and proof clips in the run's assets/: trim, and crop from the original high-resolution source rather than enlarging a small copy.

  2. Write a scene plan. Start from the example: frame ranges at 30 fps, layout (face, split-half, split-third, full-proof), type (none, media-bleed, media-card, media-wide, proof, diagram), media ranges, optional label, title, footer or captionY.

  3. Generate a new composition:

    bash
    node <skill>/scripts/scaffold-glass.mjs <run>/work/scenes.json --output <run>/work/glass-v01

    It validates the whole plan before writing, refuses to overwrite a revision, copies media by hash and copies GSAP from the workspace runtime prepared by init-workspace.mjs --install.

  4. Check, inspect key frames, then render with the workspace's HyperFrames (prepared by edit-video's init-workspace.mjs --install):

    bash
    .favstash-studio/runtime/node_modules/.bin/hyperframes check <run>/work/glass-v01
    .favstash-studio/runtime/node_modules/.bin/hyperframes render <run>/work/glass-v01 --fps 30 --quality high --output <run>/previews/glass-v01.mp4

    The composition is silent: assemble dialogue, captions and sound in the editor or with FFmpeg, keeping them editable. The checker's duplicate_media_discovery_risk warning is expected, because the full-camera, split and blurred-fill layers share one camera plate.

  5. Treat the output as a starter, not an art director. Adjust face placement and proof crops from the footage, and add purpose-built motion where proof is missing.

The material CSS is an original implementation informed by the six-layer optical model in liquid-glass-css; no third-party code is included.

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 Adaptive Glass AI skill do?

Style for edit-video: the real speaker with moving proof in footage-matched glass panels, centered captions and event-matched sound. Use for talking-head product, tool and explainer reels with real screen proof, or when the creator asks for the glass look.

Why use Adaptive Glass on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alisadiq-ai/favstash-ai-video-editing-skills/tree/main/skills/3-editing-styles/adaptive-glass. 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 Adaptive Glass?

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 Adaptive Glass?

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

Is the Adaptive Glass AI skill free?

Yes. It is published on GitHub by alisadiq-ai under the Apache-2.0 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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