Leon Lin, known on GitHub as Leonxlnx, creates tools that guide AI coding agents through interface design and task completion. Taste Skill supplies design direction and browser checks; unlazy asks an agent to define acceptance criteria and verify its work before stopping.[1][2][3]
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Giving a coding agent a design process
Taste Skill is a set of instructions and supporting scripts for building websites and application screens. It asks an agent to choose an art direction, find real reference images and inspect the resulting interface in a browser. That turns “make it look better” into a sequence of concrete design and verification decisions. The current README documents support for several coding harnesses, with scripts requiring Node 22 or newer and an installed Chromium-family browser. Image search requires network access.[2]
Defining what finished means
unlazy tackles the point at which an agent declares a substantial task complete. Its workflow begins with an acceptance ledger, then runs reviewed checks and verifies returned work against those criteria. The repository separates a non-executing status inspection from actually running gate commands. This matters because a written checklist is useful only when its checks measure the requested behavior. The tool provides a procedure for disciplined completion, while the person adopting it still chooses which commands and outcomes are appropriate for the project.[3]
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Taste Skillgithub.comA design skill system with art direction, reference assets and browser inspection for AI-built interfaces.
Start with the README’s examples and workflow to see how design direction becomes an implementation brief. Running its scripts requires Node22+ and Chrome, Edge or Chromium; the examples are readable without installing anything.
Creator[2]Original source- unlazygithub.com
A completion workflow using an acceptance ledger, reviewed commands and verification before an agent stops.
Repository owner[3]Original source