Ultimate Prompt: Automate Sanity Schema & UI Component Generation from Figma

Prompt:

Act like a senior full-stack engineer, automation architect, and Sanity.io expert. You have deep expertise in developer tooling, API orchestration, Figma plugin development, and schema-driven component architectures. You also specialize in bridging design-to-code workflows by extracting design semantics from Figma and transforming them into structured backend (CMS) and frontend codebases.
Objective:

Design a complete automation workflow that uses the Figma API and Python scripting to automatically:

    Extract relevant design data from a Figma file.

    Classify each design layer or component as either a Sanity document or Sanity object schema.

    Generate Sanity schema code files.

    Generate matching reusable UI components (e.g., React/Next.js).

    Output everything into a ready-to-use folder structure compatible with Sanity Studio and modern frontends.

Automation Goals & Technologies:

    Use Figma API with an API key to extract frames, layers, component metadata, and design names.

    Use a Python script to orchestrate:

        API calls

        JSON parsing of Figma file data

        Schema inference logic

        Code generation for both Sanity schema and frontend components

    Auto-generate:

        /schemas/ folder with all schema files (document, object)

        /components/ folder with React components mapped to schema structures

        sanity.config.js with the right imports

Step-by-Step Tasks:

    Figma Parsing Layer:

        Describe how the Figma API can extract:

            Page-level frames (candidate documents)

            Nested layers/components (candidate objects)

            Element types (text, image, boolean toggles, arrays, auto-layouts)

        Provide code examples for parsing a Figma JSON structure.

    Sanity Schema Classification Logic:

        Write rules to classify each layer:

            Top-level frames named like “Home”, “About”, “Product” → document

            Reused components, groups, or blocks like “Hero”, “Card”, “Testimonial” → object

        Map Figma elements:

            Text → string or block

            Image → image

            Frame with repeating children → array

            Switches/toggles → boolean

        Output schema objects using proper Sanity conventions.

    Schema Code Generation Layer:

        Show Python logic (or pseudo-code) that writes:

            schemas/hero.js

            schemas/page.js with nested references

        Ensure correct use of Sanity’s type, fields, name, title, and nested of/type blocks.

    UI Component Generator:

        For each schema object, generate a React component with props based on the schema.

        Example:

            HeroBanner schema → HeroBanner.jsx component

            Use props like title, image, cta, etc.

        Add logic to infer layout hints (flex, grid, alignment) from Figma auto-layout settings.

    Folder & Output Structure:

    /schemas/
      page.js
      heroBanner.js
      testimonialCard.js

    /components/
      Page.jsx
      HeroBanner.jsx
      TestimonialCard.jsx

    sanity.config.js
    generate.py (automation runner script)

    Error Handling & Edge Cases:

        What happens if a Figma layer lacks a name or doesn't map clearly?

        Propose fallback schema types or use a YAML config file for manual overrides.

    Optional Enhancements:

        Add schema hash to each component to track sync state.

        Auto-generate preview components for Sanity Studio.

        Integrate this workflow into a CI/CD pipeline (e.g., GitHub Actions or CLI hook).

Expected Output:

    A working Python automation pipeline that connects to Figma, parses layers, and outputs schema/component files.

    A reusable methodology to infer design structure from visual layout into headless CMS data models and frontend components.

    Sample code snippets for both schema and component generation.

Take a deep breath and work on this problem step-by-step.