Generate typed Vite configs for React and TypeScript projects.
npx skills add https://github.com/futuretea/x-project --skill vite-configuration
Please help me install this Agent Skill. Skill: Vite Configuration Source: https://github.com/futuretea/x-project/tree/main/.claude/skills/vite-configuration Command: npx skills add https://github.com/futuretea/x-project --skill vite-configuration
Vite Configuration simplifies setting up and tuning the Vite build tool for modern frontend projects so developers get fast dev servers, reliable HMR, and optimized production bundles without manual trial-and-error.
Configure a Vite React TypeScript project with a vite.config.ts that sets aliases, enables the React plugin, configures a development proxy to /api, and builds optimized production assets.
High-intent search queries and answers about installing and using this skill.
Path aliases in Vite are configured by defining resolve.alias mappings in vite.config.ts. This allows you to map custom directory paths, enabling cleaner imports across your React and TypeScript project.
Vite handles environment variables by loading mode-specific settings within the generated vite.config.ts. This ensures configurations are correctly injected based on the active development or CI/CD pipeline mode.
Path aliases in Vite are configured by defining resolve.alias mappings in vite.config.ts. This allows you to map custom directory paths, enabling cleaner imports across your React and TypeScript project.
Vite supports CSS preprocessor settings within the vite.config.ts file. You can configure SCSS variables and preprocessing rules to integrate smoothly with your React components during development.
Vite handles environment variables by loading mode-specific settings within the generated vite.config.ts. This ensures configurations are correctly injected based on the active development or CI/CD pipeline mode.
For Vite build optimization, you can integrate common plugins such as React, compression, and federation. These are combined with dependency optimization to produce efficient production bundles.
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