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Dont Make Me Think

Community
renatoasse
dont-make-me-think

Audita e reconstrói um fluxo ou tela para reduzir atrito e fricção de UX.

Overview

Publisherrenatoasse
Repositoryibeia-skills
Skill namedont-make-me-think
Stars
50
Forks
6
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by renatoasse on GitHub. Read the source before you install it.

Installation

Install the Dont Make Me Think 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/renatoasse/ibeia-skills/tree/main/skills/dont-make-me-think
  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/renatoasse/ibeia-skills.git /tmp/ibeia-skills
mkdir -p .claude/skills
cp -r /tmp/ibeia-skills/skills/dont-make-me-think .claude/skills/dont-make-me-think
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dont Make Me Think 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 Dont Make Me Think 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 Dont Make Me Think 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.

Don't Make Me Think

Audit an existing journey, then rebuild it so the user never has to think. Three engines drive every decision:

  1. Clarity (Krug/Nielsen) — every screen self-evident, one obvious next step.
  2. Simplicity (Maeda/Tesler) — hide complexity until it's needed; the product absorbs it, never the user.
  3. Flow (game-feel, calibrated) — clear goal, instant feedback, visible progress, celebrated wins. Never dark patterns.

The unit of work is the JOURNEY (a flow), not the isolated screen. Zoom into screens only after walking the flow end to end.

Announce at start: "Using dont-make-me-think to audit and rebuild [journey]."

The Process — 3 phases, 1 gate

AUDIT ──► Friction Map ──► BLUEPRINT ──► 🚦 user approves? ──► REBUILD ──► re-run audit on result
                                              │ no
                                              ▼
                                        revise blueprint

Phase 1 — AUDIT → Friction Map

Read reference/audit.md and follow it. Walk the journey in code AND live in the browser (Playwright) when a URL is reachable. Produce a prioritized Friction Map (P0–P3) with evidence. Do NOT propose fixes yet — this phase only collects friction.

Phase 2 — BLUEPRINT → approval gate 🚦

Read reference/clarity.md, reference/simplicity.md, reference/flow.md (the three engines), then reference/blueprint.md (the output format). Rebuild the journey ON PAPER. Present the blueprint and STOP. Do not touch code until the user explicitly approves.

Phase 3 — REBUILD → verified code

Implement the approved blueprint following the repo's existing patterns. Verify by RE-RUNNING the Phase 1 walkthrough and trunk test on the result — the audit is the acceptance test. Delegate purely visual work (palette, typography, ornament) to impeccable/frontend-design when it makes sense: dont-make-me-think owns the experience decision, not the pixels. Commit in atomic units per the repo's conventions.

Surface calibration — declare it at the top of every blueprint

SurfaceExamplesGame-feel dose
Serious tooladmin panels, tax/finance, settings, internal dashboardsFundamentals only: instant feedback, clear goal, visible progress, proper success state
Consumer producte-commerce, SaaS, content apps, games' shell UIFundamentals + engineered peak-end, celebration on real wins, empty-state-as-level-1
Engagement apphabit trackers, education, fitness, gamesAll of the above + hand off deep mechanics (XP, levels, quests) to the gamification skill

Fundamentals apply ALWAYS — they are what makes any app feel good. Strong mechanics (streaks, variable rewards, levels) NEVER appear by default outside the third row. If the user explicitly asks to crank it up, move one row down.

Red flags — stop and reconsider

ThoughtReality
"I'll just fix this one screen"The journey is the unit. Walk the flow first.
"Users will read this explanation"Nobody reads. Redesign until no instructions are needed.
"One more option won't hurt"Every option is a decision tax (Hick's Law). The burden of proof is on adding.
"A tutorial carousel will fix onboarding"Teach just-in-time, at first contact with each feature.
"A streak/badge would spice this up"Wrong row in the calibration table = dark pattern.
"The user can configure it"That's the user absorbing complexity. Absorb it with a smart default instead (Tesler).
"It's fine, it's consistent with the rest"Clarity trumps consistency.
"Fewer clicks is always better"Certainty per click beats click count. Three mindless clicks beat one confusing mega-screen.
"Skipping the gate, the fix is obvious"The blueprint gate is mandatory. Present, then wait.

Bundled files

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

Frequently asked questions

What does the Dont Make Me Think AI skill do?

Audita e reconstrói um fluxo ou tela para reduzir atrito e fricção de UX.

Why use Dont Make Me Think on TypingMind?

Because you install it once and use it with any model. Dont Make Me Think 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 Dont Make Me Think in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/renatoasse/ibeia-skills/tree/main/skills/dont-make-me-think. 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 Dont Make Me Think?

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 Dont Make Me Think?

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

Is the Dont Make Me Think AI skill free?

It is published on GitHub by renatoasse. Check the repository for licensing terms. 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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