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To save design context to an AI config file, run a one-time repository scan that captures project goals, branding, typography, and color palettes. This persists the design tokens into a persistent config file for ongoing AI guidance across all future sessions.

Setting up design tokens for AI-assisted workflows involves scanning the repository to collect design signals and writing them to a persistent AI config. This establishes a baseline design context that guides AI-enabled processes consistently across multiple sessions.

Yes, you can update existing design guidelines in the AI config by re-running the setup process. If the project design evolves, executing the scan again captures the new branding and design tokens, overwriting the previous baseline with the updated context.

Capturing project design context requires no external dependencies or components. The skill performs the repository scan and config file generation independently, establishing persistent design guidelines without needing additional technical environment setup.

AI assistants lose design context between sessions because branding and typography guidelines are not persisted. Running a one-time scan to save design tokens to a persistent AI config file ensures the AI maintains consistent project design awareness across all future interactions.

You need to persist design context into an AI configuration during initial project setup to capture goals, branding, typography, and color tokens. This ensures all future AI-enabled workflows maintain a consistent design baseline across teams without re-establishing context.