Case Study · Figma Plugin · Developer Handoff

Token Finder

A Figma plugin that translates raw design values into Tailwind-ready tokens and classes — removing guesswork and tightening design → dev handoff.

Raw → Tailwind
Instant value translation
Fewer pings
Less “which class?” back-and-forth
More aligned
Less variance from manual translation
TailwindCSS
Framework-specific output
Token Finder plugin overview
A lightweight plugin that makes token-based handoff faster and more consistent.
My role
Design + Build
Product framing, UX, plugin UI design, and development
Type
Figma Plugin
Published on Figma Community — free, open tool
Intent
Kill the translation tax
Give developers Tailwind-ready output at the exact moment they need it

Context

The handoff problem

In token-first systems, designers see intent — developers need the exact Tailwind class. That gap creates back-and-forth, delays, and “almost right” implementations.

Before: values get translated manually — slow, inconsistent, easy to misread
Before: values translated manually — slow, inconsistent, easy to misread.

Solution

Translate intent into Tailwind output

Token Finder reads the selected layer’s computed values and outputs Tailwind-friendly equivalents — so developers implement faster, with fewer assumptions.

What it does
Reads → Translates
Extracts computed Figma values and maps them to Tailwind tokens and classes automatically.
Why it matters
Cleaner handoff
Fewer interruptions, more consistent implementation, faster iteration when designs change.
Design principle
Right = easiest
Make the correct implementation the path of least resistance — by giving devs the output they actually need.
Token Finder plugin UI — clear outputs designed for developer consumption
Plugin UI: clear outputs designed for dev consumption, not designer interpretation.
Token Finder in action — select a component, get Tailwind-ready output
In action: select a component → get Tailwind-ready output immediately.

Flow

Simple flow, reliable output

No setup ceremony — just select, read, translate.

01
Select
Pick any layer in Figma
02
Extract
Plugin reads computed values
03
Translate
Maps to Tailwind tokens/classes
04
Ship
Copy output, implement confidently
Select → Extract computed values → Translate into Tailwind-ready output
Select → Extract → Translate — zero config, instant output.

Impact

Early outcomes

Fresh release — proof starts with what’s measurable immediately.

Guesswork
Raw → Tailwind
Outputs devs can use instantly, no manual translation
Handoff clarity
Fewer pings
Less “which class/value?” back-and-forth per ticket
Consistency
More aligned
Less variance from manual value translation
Time saved
Minutes / component
Tracking 10 components to set a baseline
After: Tailwind-ready output reduces ambiguity and keeps handoff moving
After: Tailwind-ready output reduces ambiguity and keeps handoff moving.

Takeaways

What building this taught me

Systems leak at the edges
Tokens can be perfect on paper — if teams still translate values manually, the system leaks. This plugin bridges that gap.
Trust is the product
Tooling only works when people believe the output. That meant keeping the UI obvious, rules predictable, and behaviour unsurprising.
Remove friction, not add docs
The best tools don’t demand attention — they give you the answer at the exact moment it’s needed.

Roadmap

Where it goes from here

Expansion
More frameworks
Support additional token systems beyond Tailwind, plus team-level config mapping.
Quality
Edge cases
Better handling for gradients, complex typography, and spacing rules.
Measurement
Before / after tracking
Manual translation time vs plugin time, handoff questions per ticket, class corrections in QA.

Try Token Finder

Discover more from thepace.me

Subscribe now to keep reading and get access to the full archive.

Continue reading