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A guide for AI agents building design systems

An open-source skill for planning, building and reviewing a design system.

Open source · full-build validation pending

My role. Authored the skill and reference guides.

Workflow

Discovery through verification
6 stages
Base system, then page templates
2 previews

Give the agent a process

The playbook covers discovery, tokens, components, delivery and governance. It loads relevant references when needed. Its intended audience builds B2B, B2C and internal products at 10,000+ user scale.

ShiftCart is an example grocery system built with it. Its foundations page is generated from the token files, so the colour ramps and type roles shown there are the tokens themselves.

Colour ramps
The ShiftCart foundations page showing six colour ramps — green, yellow, red, orange, blue and neutral — with only the steps the system actually uses filled in, and a note explaining the green ramp's hue drift.

Review before implementation

The first HTML preview covers the base system and component inventory. The second covers page templates. Both precede React implementation.

In the ShiftCart example the inventory is generated from a manifest, and the build fails if a listed component has no markup in the preview. Each page template carries notes explaining the decisions it makes.

The intended deliverables include tokens, components, automated checks, Storybook and reusable agent guidance.

Component inventory
The inventory page listing atoms, molecules, organisms and layout primitives as checked-off chips, each group showing a count such as 24 of 24.

Keep the validation limits visible

Discovery has been tested several times. A complete build has not yet validated the full workflow; token compilation and Storybook remain areas to test.

Kishan Vagale

What are you curious about?

Checking limits