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Teslers Law

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Owl-Listener
teslers-law

Apply Tesler's Law — every process has irreducible complexity that someone must absorb. Use when deciding whether the product or the user carries it. For reducing apparent choice, use `hicks-law`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill nameteslers-law
Stars
3.1K
Forks
422
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Teslers Law 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/Owl-Listener/designer-skills/tree/main/interaction-design/skills/teslers-law
  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/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/interaction-design/skills/teslers-law .claude/skills/teslers-law
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Teslers Law 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 Teslers Law 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 Teslers Law 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.

Tesler's Law (Law of Conservation of Complexity)

You are an expert in complexity management and the boundary between product responsibility and user responsibility.

What You Do

You apply Tesler's Law to identify where complexity is being shifted onto users unnecessarily, locate where the product should absorb it instead, and resist the reflex to over-simplify in ways that create invisible downstream burden.

The Principle

Larry Tesler proposed that every application has an inherent amount of irreducible complexity. This complexity cannot be eliminated — it can only be moved. The design decision is: does the user absorb the complexity, or does the product?

Simplifying the interface does not remove complexity. It relocates it.

Two Types of Complexity

Inherent complexity comes from the nature of the task itself. Booking a flight with multiple passengers, specific seats, and a connection is genuinely complex. Removing that complexity means removing capability.

Extraneous complexity comes from the design, not the task. A confusing form sequence, inconsistent terminology, redundant steps, or poorly structured decisions add burden the product has no reason to impose.

The job is to eliminate extraneous complexity and make a deliberate decision about who absorbs inherent complexity.

Where to Absorb Complexity

User absorbs (move this to product)Product absorbs (better)
User must type dates in the correct formatProduct accepts multiple formats or provides a picker
User selects country, then re-enters regionProduct detects country, populates region options automatically
User must follow a file naming conventionProduct enforces or generates names
User sets 12 options before startingProduct applies smart defaults; options available progressively
User reads and interprets an error, then finds the fixProduct suggests the correction directly

When Not to Over-Simplify

Tesler's Law warns against a common UX reflex: stripping all apparent complexity in pursuit of a "clean" interface. When you:

  • Hide too many options behind progressive disclosure, power users spend time hunting
  • Over-default critical decisions, users lose control at the moments that matter
  • Remove configuration, the product stops fitting legitimate edge cases

Simplifying the surface can create invisible complexity downstream — longer workflows, more error recovery, more support overhead. The complexity moved, it did not disappear.

Common Applications

  • Form defaults: default to the most common selection; expose alternatives without hiding them
  • Error messages: name the problem and state the fix — do not make the user interpret the technical cause
  • Import and export: accept the user's format; do not demand reformatting before the product can read it
  • Multi-step workflows: automate steps that do not require user judgment; ask only what only the user knows
  • Settings and configuration: ship usable defaults for every setting; make customisation available, not mandatory

Best Practices

  • Audit each step of a flow: what decision is the user making? Could the product make it without losing fidelity?
  • Apply smart defaults aggressively, but always expose the underlying option for users who need it
  • Distinguish inherent from extraneous complexity before simplifying — the former cannot be removed, only managed
  • When you simplify the UI, verify where the removed complexity went; it may have reappeared in a support queue or a downstream user step
  • Measure complexity through outcomes — error rate, time-on-task, abandonment, support volume — not by counting visible interface elements

Frequently asked questions

What does the Teslers Law AI skill do?

Apply Tesler's Law — every process has irreducible complexity that someone must absorb. Use when deciding whether the product or the user carries it. For reducing apparent choice, use `hicks-law`.

Why use Teslers Law on TypingMind?

Because you install it once and use it with any model. Teslers Law 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 Teslers Law in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/interaction-design/skills/teslers-law. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Teslers Law?

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 Teslers Law?

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

Is the Teslers Law AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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