System Deconstruction

Community

Dragoon0x

system-deconstruction

Break a design system into its constituent decisions and evaluate each one. Use when auditing design systems, evaluating consistency, or understanding how a product maintains quality at scale.

Overview

Publisher	Dragoon0x
Repository	`taste-skills`
Skill name	`system-deconstruction`
Stars	6
Forks	3
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Dragoon0x on GitHub. Read the source before you install it.

Installation

Install the System Deconstruction 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/Dragoon0x/taste-skills/tree/main/skills/analysis/system-deconstruction
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Dragoon0x/taste-skills/tree/main/skills/analysis/system-deconstruction

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Dragoon0x/taste-skills.git /tmp/taste-skills
mkdir -p .claude/skills
cp -r /tmp/taste-skills/skills/analysis/system-deconstruction .claude/skills/system-deconstruction

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

Use it in TypingMind

Enable System Deconstruction 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 System Deconstruction 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 System Deconstruction 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.

System Deconstruction

Take a design system apart. Understand every decision.

How to use

/system-deconstruction Apply system analysis constraints to this conversation.

Constraints

System Layers

MUST identify and evaluate each layer independently:
- Token layer: colors, spacing, radii, shadows, type scale
- Component layer: buttons, inputs, cards, modals, navigation
- Pattern layer: forms, tables, dashboards, settings, onboarding
- Layout layer: grids, breakpoints, density modes
MUST check consistency within each layer and between layers

Quality Signals

Consistent spacing scale across all components
Type scale that follows a mathematical ratio
Color palette with clear, non-overlapping roles
Components that compose predictably
States that are systematically covered (not ad-hoc)

Quality Warnings

More than 3 one-off components that don't fit the system
Spacing values that almost match but don't (15px next to 16px)
Colors that serve different semantic roles in different contexts
Components that look similar but behave differently

Anti-Patterns

Evaluating a design system by its documentation instead of its actual usage
Ignoring the gap between what the system defines and what the product actually ships
Treating the system as sacred (systems should serve products, not the other way around)

Frequently asked questions

What does the System Deconstruction AI skill do?

Break a design system into its constituent decisions and evaluate each one. Use when auditing design systems, evaluating consistency, or understanding how a product maintains quality at scale.

Why use System Deconstruction on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dragoon0x/taste-skills/tree/main/skills/analysis/system-deconstruction. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use System Deconstruction?

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 System Deconstruction?

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

Is the System Deconstruction AI skill free?

Yes. It is published on GitHub by Dragoon0x 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

System Deconstruction

How to use

Constraints

System Layers

Quality Signals

Quality Warnings

Anti-Patterns

Frequently asked questions

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