Cascade Layers

CommunityPopular

thedaviddias

cascade-layers

Use when reviewing a CSS architecture for specificity issues, setting up a design system, or migrating a large codebase from utility-first to a layered architecture.

Overview

Publisher	thedaviddias
Repository	`Front-End-Checklist`
Skill name	`cascade-layers`
Stars	74.4K
Forks	6.8K
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by thedaviddias on GitHub. Read the source before you install it.

Installation

Install the Cascade Layers AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/cascade-layers
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.

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/thedaviddias/Front-End-Checklist.git /tmp/Front-End-Checklist
mkdir -p .claude/skills
cp -r /tmp/Front-End-Checklist/skills/cascade-layers .claude/skills/cascade-layers

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cascade Layers 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 Cascade Layers 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 Cascade Layers 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.

Use @layer to manage CSS cascade order explicitly

Specificity conflicts are one of the most common causes of CSS bugs in large codebases. Developers resort to !important, deeply nested selectors, or inline styles to win specificity wars, creating an unmaintainable arms race. Cascade layers move the source of truth for cascade order from selector specificity to explicit layer ordering, making the system predictable and easy to reason about.

Quick Reference

Declare your layer stack at the top of your main CSS file to fix order regardless of import sequence
Styles in later layers win over styles in earlier layers, regardless of selector specificity
Put third-party/reset styles in early layers so your own styles always override them
Unlayered styles (no @layer) have the highest priority — migrate gradually

Check

Check whether the CSS uses cascade layers to manage specificity, and whether the layer order is explicitly declared.

Fix

Introduce @layer declarations for reset, base, components, and utilities, and migrate existing styles into appropriate layers.

Explain

Explain how CSS Cascade Layers work, how layer order determines cascade priority, and why this is preferable to specificity-based overrides.

Code Review

Review the CSS for !important declarations, excessively specific selectors (more than two class selectors), and inline styles used to override component styles — all are signals that the cascade is not under control.

For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/css/cascade-layers

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/rule.md7 KB

Frequently asked questions

What does the Cascade Layers AI skill do?

Use when reviewing a CSS architecture for specificity issues, setting up a design system, or migrating a large codebase from utility-first to a layered architecture.

Why use Cascade Layers on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/cascade-layers. 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 Cascade Layers?

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 Cascade Layers?

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

Is the Cascade Layers AI skill free?

Yes. It is published on GitHub by thedaviddias 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Use @layer to manage CSS cascade order explicitly

Quick Reference

Check

Fix

Explain

Code Review

Bundled files

Frequently asked questions

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