Simplification Cascades

Community

einverne

Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"

Overview

Publisher	einverne
Repository	`dotfiles`
Skill name	`Simplification Cascades`
Stars	121
Forks	24
Bundled files	Instructions only
License	GPL-3.0
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 einverne on GitHub. Read the source before you install it.

Installation

Install the Simplification Cascades 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.
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/einverne/dotfiles/tree/master/claude/skills/problem-solving/simplification-cascades

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/einverne/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/claude/skills/problem-solving/simplification-cascades .claude/skills/einverne-simplification-cascades

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

Use it in TypingMind

Enable Simplification Cascades 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 Simplification Cascades 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 Simplification Cascades 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.

Simplification Cascades

Overview

Sometimes one insight eliminates 10 things. Look for the unifying principle that makes multiple components unnecessary.

Core principle: "Everything is a special case of..." collapses complexity dramatically.

Quick Reference

Symptom	Likely Cascade
Same thing implemented 5+ ways	Abstract the common pattern
Growing special case list	Find the general case
Complex rules with exceptions	Find the rule that has no exceptions
Excessive config options	Find defaults that work for 95%

The Pattern

Look for:

Multiple implementations of similar concepts
Special case handling everywhere
"We need to handle A, B, C, D differently..."
Complex rules with many exceptions

Ask: "What if they're all the same thing underneath?"

Examples

Cascade 1: Stream Abstraction

Before: Separate handlers for batch/real-time/file/network data Insight: "All inputs are streams - just different sources" After: One stream processor, multiple stream sources Eliminated: 4 separate implementations

Cascade 2: Resource Governance

Before: Session tracking, rate limiting, file validation, connection pooling (all separate) Insight: "All are per-entity resource limits" After: One ResourceGovernor with 4 resource types Eliminated: 4 custom enforcement systems

Cascade 3: Immutability

Before: Defensive copying, locking, cache invalidation, temporal coupling Insight: "Treat everything as immutable data + transformations" After: Functional programming patterns Eliminated: Entire classes of synchronization problems

Process

List the variations - What's implemented multiple ways?
Find the essence - What's the same underneath?
Extract abstraction - What's the domain-independent pattern?
Test it - Do all cases fit cleanly?
Measure cascade - How many things become unnecessary?

Red Flags You're Missing a Cascade

"We just need to add one more case..." (repeating forever)
"These are all similar but different" (maybe they're the same?)
Refactoring feels like whack-a-mole (fix one, break another)
Growing configuration file
"Don't touch that, it's complicated" (complexity hiding pattern)

Remember

Simplification cascades = 10x wins, not 10% improvements
One powerful abstraction > ten clever hacks
The pattern is usually already there, just needs recognition
Measure in "how many things can we delete?"

Frequently asked questions

What does the Simplification Cascades AI skill do?

Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"

Why use Simplification Cascades on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/einverne/dotfiles/tree/master/claude/skills/problem-solving/simplification-cascades. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Simplification Cascades?

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 Simplification Cascades?

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

Is the Simplification Cascades AI skill free?

Yes. It is published on GitHub by einverne under the GPL-3.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Simplification Cascades

Overview

Quick Reference

The Pattern

Examples

Cascade 1: Stream Abstraction

Cascade 2: Resource Governance

Cascade 3: Immutability

Process

Red Flags You're Missing a Cascade

Remember

Frequently asked questions

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