Jan Kotnik avatar

Jan Kotnik

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@bond23869

3Followers
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21Public Repos
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9Published Skills

The man the myth the legend

Skills Distribution
DomainDeveloper To...Browser Testing & .. (30%)Code Simplicity & .. (25%)Product Requiremen.. (20%)UI Design Guidance (15%)

Agent Skills by Jan Kotnik

Showing 9 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Jan Kotnik

FAQPage Schema
What tasks can I accomplish with Jan Kotnik's skills?

You can automate browser interactions for testing and data extraction, write PRDs with machine-verifiable acceptance criteria, enforce minimal YAGNI-style solutions, review code for over-engineering, get distinctive UI design guidance, remove AI-writing patterns from text, and compress communication to cut token usage roughly 75%.

Who are these skills designed for?

They target software developers and product engineers, especially those working on Laravel + Inertia + React projects such as feedguardians, grandranker, and marqetir. Senior developers fighting over-engineering, QA engineers testing web apps, and product owners drafting feature specs all benefit directly.

How do the browser skills work in practice?

The agent-browser and dev-browser skills let you navigate URLs, click elements, fill forms, take screenshots, scrape page content, and log into sites. Dev-browser maintains persistent page state across interactions, making it suited for multi-step web application testing and data extraction sessions.

Are these skills open source and what do they cost?

The ponytail skill is released under the MIT license, permitting free use and modification. The frontend-design skill carries custom terms defined in its LICENSE.txt file, so review that file before redistribution. Other skills list no explicit license in their frontmatter.

What is the ponytail skill and how do I trigger it?

Ponytail forces the simplest working solution: standard library before custom code, native platform features before dependencies. Trigger it by saying 'ponytail', 'be lazy', 'yagni', or 'simplest solution'. It supports lite, full, and ultra intensity levels, with ponytail-review auditing code for deletable complexity.