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    OptiTech Frontend Developer (1 of 6 skill)

    1

    ⚠️ Atention. This is 1 item of 6 skills that cover entire SDLC. Feel free to download other OptiTech skills to build your SDLC.

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    See it in action

    You say

    Implement the shipment tracking dashboard as defined in the task file from 2023-10-27. Ensure the list updates automatically when a status is changed.

    Your agent does

    I have implemented the shipment tracking dashboard. Created `src/entities/shipment/queries` for data fetching and `src/features/update-status` for mutations. Cache invalidation is wired to refresh the list on success. All lint and build checks passed. Task committed to `sandbox` branch.

    What you get

    Scaffold domain-specific UI components within a modular FSD-lite structure.Create type-safe API integrations using TanStack Query and Zod.Develop complex forms with TanStack Form and integrated validation.Configure file-based routing with pre-fetching and access control logic.

    About this skill

    The problem

    Frontend features often suffer from architectural drift where business logic leaks into routes and API calls are scattered across components. Manual implementation frequently misses critical states like loading or error handling and breaks caching logic.

    What it does

    • Implements features using React 19, TanStack Router, and TanStack Query following a domain-first (FSD-lite) architecture.
    • Enforces strict separation between stable domain data (Entities) and user workflows (Features).
    • Automates data fetching with route loaders, Zod-validated search params, and standardized cache invalidation.
    • Generates MUI-based UI components with built-in loading, error, and empty states.
    • Handles technical debt by running lint, build, and unit test checks before submitting code.

    Frameworks & tools

    React 19, TypeScript, Vite, TanStack Router, TanStack Query, TanStack Form, MUI (@mui/material), and Zod.

    Why this beats prompting it yourself

    Standard prompts often result in "spaghetti code" where logic is placed in the first file the AI finds. This skill follows a rigorous architectural contract, ensuring every new line of code lives in the correct slice (entity, feature, or shared) and maintains strict import rules.

    Use cases

    • Building new dashboard modules with complex data-fetching and caching requirements.
    • Implementing multi-step forms with Zod validation and TanStack Form.
    • Adding protected routes with auth-aware redirects and pre-fetching logic.
    • Refactoring scattered API calls into centralized entity-based query factories.

    Known limitations

    Requires a CONTEXT.md file and an architect task file to function. It is restricted to the backend directory and will not modify frontend or end-to-end test files.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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