Design System Token Audit
Finds where a design system has drifted — one-off values, near-duplicate tokens, and the components that stopped using it.
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Running it, start to finish
- Export your token definitions and grep the codebase for hard-coded values.
- Resolve the near-duplicates before adding anything new.
- Work the migration checklist in order, getting sign-off where marked.
What you get back
The output this produces, every time.
- Finds near-duplicate tokens, which is how systems become unusable rather than abandoned.
- Separates hard-coded values that had a token available from ones that revealed a coverage gap.
- Checks contrast on the pairs actually used together, including disabled and placeholder states.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Grep for hard-coded values first. Hex codes, pixel values, rem literals. Section 3 is the most actionable output and it needs that list to work.
- Take the semantic layer seriously. If your tokens are all primitives, re-theming and dark mode are effectively blocked, and that is usually discovered at the worst moment.
- Get sign-off on visible changes. Section 7 marks them. Retiring a near-duplicate colour is a visual change even when it is obviously correct.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.