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feat: enhance command palette with new "uses" feature and update chat types
- Added "View setup" command to the command palette in English, French, and Spanish. - Removed "Tech Stack" command from the command palette. - Updated MessageContainer to handle new "uses" message type. - Refactored chat.ts to use a new ChatMessages function for better organization. - Created new Uses.vue component to display a list of software and gadgets. - Added Item.vue and List.vue components for rendering individual items and categories. - Updated content configuration to include new skills and uses categories. - Added new JSON files for programming languages, frontend, backend, devops, and python frameworks. - Updated existing JSON files for homelab items with improved descriptions. - Removed obsolete stack JSON files.
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@@ -12,7 +12,7 @@ tags:
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[**ArtSite**](https://arthurdanjou.fr) is my personal space on the web — a portfolio, a blog, and a digital lab where I showcase my projects, write about topics I care about, and experiment with design and web technologies.
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It’s designed to be fast, accessible, and fully responsive. The site also serves as a playground to explore and test modern frontend tools.
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It's designed to be fast, accessible, and fully responsive. The site also serves as a playground to explore and test modern frontend tools.
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### ⚒️ Tech Stack
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@@ -13,7 +13,7 @@ favorite: false
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Committed to digital innovation, Sevetys leverages centralized data systems to optimize clinic operations, improve patient data management, and enhance the overall client experience. This combination of medical excellence and operational efficiency supports veterinarians in delivering the highest quality care nationwide.
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During my two-month internship as a Data Engineer, I focused primarily on cleaning and standardizing customer and patient data — a critical task, as this data is extensively used by clinics, Marketing, and Performance teams. Ensuring data quality was therefore essential to the company’s operations.
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During my two-month internship as a Data Engineer, I focused primarily on cleaning and standardizing customer and patient data — a critical task, as this data is extensively used by clinics, Marketing, and Performance teams. Ensuring data quality was therefore essential to the company's operations.
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Additionally, I took charge of revising and enhancing an existing data quality report designed to evaluate the effectiveness of my cleaning processes. The report encompassed 47 detailed metrics assessing data completeness and consistency, providing valuable insights that helped maintain high standards across the organization.
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