nexu-io/open-design/plugins/_official/scenarios/od-web-effect-extractor/SKILL.md
od-web-effect-extractor
Extract visual effects, animation systems, Canvas/WebGL/Shader behavior, and interaction details from a reference website, then rebuild them as an editable Open Design web artifact.
- Source repository stars
- 82,073
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Use this plugin when the user gives a website URL and asks Open Design to recreate, remix, or learn from its visual effects. It is especially useful for hero backgrounds, WebGL scenes, Canvas animations, shader effects, cursor trails, scroll-driven motion, animated typography, a…
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/nexu-io/open-design --skill "plugins/_official/scenarios/od-web-effect-extractor"Inspect the Agent Skill "od-web-effect-extractor" from https://github.com/nexu-io/open-design/blob/89d6d4ef21baf80f871595abdf6f7de6e941dd44/plugins/_official/scenarios/od-web-effect-extractor/SKILL.md at commit 89d6d4ef21baf80f871595abdf6f7de6e941dd44. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Workflow
Start from the supplied URL and define the exact effect to recreate. If the user is vague, inspect the first viewport first and infer the likely target effect.
URL and capture timestampViewport sizes to test, usually desktop and mobileMain effect target and fallback effect targets - 02
Scope
The goal is to produce a faithful, editable Open Design artifact that preserves the reference site's visual effect and interaction logic while replacing private content, trademarks, tracking code, and nonessential app logic.
Layout structure, viewport behavior, breakpoints, and composition rhythmColor, typography, blend modes, gradients, texture, lighting, and post-processingMotion timing, easing, scroll triggers, pointer response, and idle animation loops - 03
1. Prepare The Capture
Start from the supplied URL and define the exact effect to recreate. If the user is vague, inspect the first viewport first and infer the likely target effect.
URL and capture timestampViewport sizes to test, usually desktop and mobileMain effect target and fallback effect targets - 04
2. Runtime Inspection
Capture runtime evidence before simplifying anything.
DOM tree, computed styles, fonts, CSS variables, custom properties, and animation namesCanvas elements, WebGL contexts, renderer attributes, supported extensions, and resolution scalingGlobal framework markers such as THREE, BABYLON, NEXTDATA, NUXT, vite, GSAP, Lenis, Framer Motion, or custom scene globals - 05
3. Extract The Visual Model
Turn the raw capture into a compact visual model:
Scene graph or layer stackAsset list with source, dimensions, and roleShader/material list with uniforms and dependencies
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 87/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 82,073 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- nexu-io/open-design
- Skill path
- plugins/_official/scenarios/od-web-effect-extractor/SKILL.md
- Commit
- 89d6d4ef21baf80f871595abdf6f7de6e941dd44
- License
- Apache-2.0
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
Web Effect Extractor
Use this plugin when the user gives a website URL and asks Open Design to recreate, remix, or learn from its visual effects. It is especially useful for hero backgrounds, WebGL scenes, Canvas animations, shader effects, cursor trails, scroll-driven motion, animated typography, and interaction patterns that are hard to understand from screenshots alone.
This workflow is inspired by the MIT-licensed web-shader-extractor skill from lixiaolin94/skills, adapted for Open Design's website recreation and editable artifact workflow.
Scope
The goal is to produce a faithful, editable Open Design artifact that preserves the reference site's visual effect and interaction logic while replacing private content, trademarks, tracking code, and nonessential app logic.
Extract only what is needed to understand and recreate the visual behavior:
- Layout structure, viewport behavior, breakpoints, and composition rhythm
- Color, typography, blend modes, gradients, texture, lighting, and post-processing
- Motion timing, easing, scroll triggers, pointer response, and idle animation loops
- Canvas, WebGL, Three.js, shader, particle, and framebuffer pipeline details
- Public static assets needed for visual parity, with provenance noted
Do not copy private product copy, hidden application state, user data, analytics, auth flows, or unrelated business logic.
Workflow
1. Prepare The Capture
Start from the supplied URL and define the exact effect to recreate. If the user is vague, inspect the first viewport first and infer the likely target effect.
Before extracting runtime details, prefer a browser context that can evaluate page scripts and inspect canvas/WebGL state. If Chrome DevTools MCP is available, use it for runtime interception. If it is not available, continue with the strongest available browser automation and clearly state that shader/runtime capture may be incomplete.
Record:
- URL and capture timestamp
- Viewport sizes to test, usually desktop and mobile
- Main effect target and fallback effect targets
- Framework clues from HTML, network requests, globals, and package signatures
2. Runtime Inspection
Capture runtime evidence before simplifying anything.
Inspect:
- DOM tree, computed styles, fonts, CSS variables, custom properties, and animation names
- Canvas elements, WebGL contexts, renderer attributes, supported extensions, and resolution scaling
- Global framework markers such as
THREE,BABYLON,__NEXT_DATA__,__NUXT__,vite, GSAP, Lenis, Framer Motion, or custom scene globals - Networked JS bundles, images, videos, fonts, LUTs, textures, HDRIs, and data files
When WebGL is present and tooling allows pre-page-load injection, intercept:
gl.shaderSource()for vertex and fragment sourcegl.uniform*()calls for names and observed valuesgl.bindFramebuffer()to understand multipass render ordergl.drawArrays()andgl.drawElements()to understand draw-call order- texture and buffer setup when it affects the final look
When 2D Canvas is present, inspect the render loop, draw primitives, image sources, compositing operations, and device-pixel-ratio handling.
3. Extract The Visual Model
Turn the raw capture into a compact visual model:
- Scene graph or layer stack
- Asset list with source, dimensions, and role
- Shader/material list with uniforms and dependencies
- Motion map with trigger, duration, easing, repeat behavior, and responsive differences
- Interaction map for pointer, keyboard, scroll, resize, and reduced-motion handling
- Known uncertainties, such as minified bundle branches or runtime values that could not be observed
Prefer evidence over guesses. If an effect cannot be observed directly, mark it as an inference.
4. Rebuild In Open Design
Create a standalone web artifact that can be inspected and edited.
Choose the simplest implementation that preserves the effect:
- Static DOM/CSS for layout-only references
- CSS animation or WAAPI for simple motion
- GSAP for sequenced or scroll-linked motion
- Canvas 2D for 2D procedural effects
- Native WebGL2 for compact full-screen shader effects
- Three.js when the reference uses 3D, cameras, materials, textures, post-processing, or GPGPU patterns
Keep the rebuild self-contained unless a dependency materially reduces complexity. If dependencies are used, load them in a transparent, reviewable way.
Important reconstruction rules:
- Preserve color management and output color space.
- Preserve the reference time base, such as seconds, elapsed milliseconds, frame count, or scroll progress.
- Preserve multipass ordering for shader effects.
- Do not tune random values to hide a root-cause mismatch; fix the model instead.
- Add
prefers-reduced-motionfallbacks for intense effects. - Replace copyrighted or brand-specific content unless the user explicitly owns it or asks to preserve it.
5. Verify Visual Parity
Open the reference and the rebuilt artifact at the same viewport sizes. Compare:
- First viewport framing
- Color, brightness, contrast, and blending
- Motion rhythm and loop continuity
- Pointer and scroll response
- Mobile behavior and performance
- Canvas/WebGL nonblank rendering
For WebGL and Canvas work, verify that the canvas is not blank and that animation advances over time. If possible, compare screenshots or pixel samples across at least two timestamps.
6. Deliver
Finish with:
- The rebuilt artifact path or preview URL
- A short extraction summary
- Any visual differences that remain
- Asset provenance and any replaced assets
- Notes on what the user can safely edit next
If the user asks for an extraction report, create EXTRACTION-REPORT.md with the source URL, capture method, visual model, implementation choices, validation notes, and remaining gaps.
Quality Bar
- The artifact must run independently from the source website.
- The primary visual effect must be recognizable without explanation.
- The implementation must be understandable enough for a designer or engineer to edit.
- The workflow must avoid copying unrelated application code.
- The response must distinguish captured facts from inferred reconstruction choices.
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