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Break

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jakubkrehel
break

Renders a component you choose in every state and scenario on a temporary page and stress tests it.

Overview

Publisherjakubkrehel
Repositoryskills
Skill namebreak
Stars
6.8K
Forks
245
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Break 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.
  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/jakubkrehel/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/break .claude/skills/break
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Break 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 Break 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 Break 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.

Break

This skill takes one component and renders it on a fresh page under every scenario that can actually reach it. That page is the deliverable: a visual report the user scrolls through, every state side by side, with the breaks marked. A component built against one happy path looks finished right up until real content arrives.

It observes rather than judges. A finding here is something that visibly broke on the page, named in the vocabulary of the domain skill that owns the fix. Reviewing code against a standard is interface-review and better-interface; exploring design alternatives is variant.

Where variant insists on the real page, this skill isolates on purpose. You are not judging how the component looks in context. You are checking whether it defends itself when the content is worst-case.

The whole run is build, look once, report: minutes, not a session. The work is rendering an existing component with different props, and nothing in it justifies instrumentation, browser debugging or a second pass.

1. Scope one component

One component per run. "The settings page" is not a component; the profile form's text input is. Where the request spans several, list the candidates and ask which one to test, rather than picking on the user's behalf.

Restate what the component is in one sentence: what it accepts, what it renders and where it will live.

2. Infer the scenarios from the component

Stress only what varies. A scenario earns a slot when the component accepts something that can take that shape in production. So read the component first: its props, its slots, its states and the data it renders.

scenarios.md holds the axes, the values on each and the cue that says whether an axis applies. Walk it against the component and keep only the axes whose cue matches. A text input gets content length and states, never item quantity. A static icon button with a fixed label gets container and environment, never long text.

Write the kept scenarios down before building, one line each, so the harness renders a planned set rather than whatever came to mind. Then say which axes you dropped and why, in one line, so a wrong inference is cheap to catch.

3. Build the harness page

One throwaway page, holding the real component imported from the project, rendered once per scenario in a single column with a short text label above each instance.

The component ships untouched, in its real environment. A scratch route inside the app gives it the app's own layout, fonts and global styles for free. Labels, container widths and fixture props are everything the page adds: no fonts or styles of its own, no simulated themes or token swaps, no probes. A component observed under any of those is a different component.

Where the framework splits server from client components, the page itself is client code, "use client" in Next. Fixture props can silently vanish crossing that boundary into an interactive component, and every scenario renders empty.

Widths are scenarios on the page. Render the width cases inside fixed-width containers beside the full-width one, so a single load shows every width and nothing ever gets resized.

Feed scenarios as props and fixture data. The harness never imports production state, never wires to live data and production never imports from the harness.

4. Look once

One pass. Load the page in a browser that is already at hand, skim every scenario top to bottom and note what visibly broke. "Text escapes the field's right edge", never "spacing feels tight". A run that never rendered is a code review wearing a costume, and a predicted failure is still not a finding.

One load is the budget. When there is no browser, or the browser needs launching, window-wrangling or any debugging at all, skip the look entirely: hand the URL over and let the user's own eyes be the observation. Their look is worth more than yours anyway, since the page is theirs to read.

Then mark each break you did see on the page, a one-line note under that scenario's label, in a single edit. The page has to read as the report on its own.

5. Report what broke and stop

Report findings as a table, broken scenarios first:

ScenarioObservedOwner
One unbreakable 60-character stringOverflows the card, no wrap and no truncationbetter-typography
Zero itemsBlank region with no messagebetter-writing

The owner column names the domain skill whose rules diagnose the break, so the fix starts in the right place. This skill owns no domain rules and issues no verdict.

"Everything survived" is a complete and useful report. Say which scenarios are on the page and where it is running, so the user can see every one themselves. End there rather than padding the result with preferences.

Do not fix anything unasked. On a request to fix, follow the owner skill's rules, then re-render the failing scenarios to confirm.

6. Leave the page up, delete it on request

The page is half the report, so it outlives the findings table. Leave it running and delete it and its fixtures only when the user says they are done with it.

Before you finish

MistakeFix
Every axis run against every componentKeep only the axes whose cue matches, and say which you dropped
A predicted failure reported as observedRender it, or leave it out
A scenario missing the content it was fedThe harness is broken, not the component; make the page client code and re-check
A rebuilt lookalike component in the harnessImport the real component from the project
The harness restyles or re-themes the componentThe app's layout, fonts and tokens as they are; labels and widths are all the page adds
A browser launched, debugged or screenshotted per scenarioOne load and one look, or hand the URL over and skip the look
Findings phrased as tasteReport what was visible on the page, or nothing
A break reported without an ownerName the domain skill whose rules diagnose it
A clean run padded with suggestions"Everything survived" plus the scenario list is the report
The viewport resized scenario by scenarioWidths are fixed containers on the page; one load shows them all
A break in the table but unmarked on the pageNote it under the scenario's label; the page reads as the report on its own
Page deleted in the same turn as the reportThe page is half the report; delete only on the user's word

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 Break AI skill do?

Renders a component you choose in every state and scenario on a temporary page and stress tests it.

Why use Break on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jakubkrehel/skills/tree/main/skills/break. 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 Break?

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 Break?

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

Is the Break AI skill free?

Yes. It is published on GitHub by jakubkrehel 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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