Skill UI

This skill demonstrates how to create an event-driven pipeline using Figma's Webhooks. It listens for design file changes and automatically triggers Anima to regenerate production-ready code components (e.g., React/TypeScript/Tailwind). Ideal for integrating continuous design updates into CI/CD workflows.

This integration automates the critical process of converting design assets from Figma into production-ready code using Anima. It establishes a full CI/CD pipeline via GitHub Actions, enabling scheduled or manual component generation. Use this when automating design system handoffs, maintaining code synchronization with design changes, or implementing robust, reliable development workflows.

A suite of utilities designed to significantly boost Anima code generation performance. It implements file-based caching with Time-To-Live (TTL) management, enables incremental updates by tracking only changed Figma components, and optimizes output size by cleaning up comments and excess whitespace. Ideal for optimizing large batch generations or speeding up production build pipelines.

A comprehensive checklist for validating the production readiness of design-to-code pipelines, specifically for Anima's service converting Figma designs into React, Vue, and HTML. Use this guide when deploying automated code generation services, setting up CI/CD for design handoffs, or validating output quality to ensure component integrity and prevent production failures.

This workflow automates the design handoff process by creating a continuous pipeline from Figma designs to functional React code. It scans Figma components, generates code batches (supporting TypeScript, Tailwind CSS, etc.), and includes change detection to automatically update the codebase when the design source changes. Ideal for building complex design systems and implementing CI/CD design-to-code workflows.

This advanced workflow allows developers to clone live websites directly into structured React or HTML code using the Anima platform. It goes beyond simple cloning by featuring post-generation customization rules (e.g., updating utility classes or imports) and a dedicated design token mapper. This ensures the generated code is immediately usable and adheres strictly to the project's existing design system tokens, while also organizing the final component structure.

This skill guides the deployment of the Anima design-to-code service as a backend API endpoint. It is essential for building microservices that convert Figma designs into functional code, suitable for internal design tools or production APIs. Supports deployment via Vercel and Google Cloud Run.

This guide details how to install and configure the Anima SDK for robust Figma-to-code generation. It is essential for developers setting up design-to-code automation pipelines, requiring configuration of both Anima and Figma API tokens. The SDK enables converting designs into production-ready React, Vue, or HTML components with Tailwind, MUI, or AntD styling.

This utility provides robust methods to manage API rate limits when integrating with the Anima API. It implements throttling using the `Bottleneck` pattern for stable, high-volume operations, and includes a 429 retry handler with progressive backoff. This is essential for large-scale batch generation of design systems or complex component libraries.

This guide details production-ready patterns for integrating the Anima SDK into automated design-to-code pipelines. It covers best practices such as implementing a singleton client, managing generation cache, normalizing output for project conventions (e.g., TSX structure, utility classes), and incorporating retry logic for API resilience. Use it when building robust, reusable Anima client wrappers for enterprise applications.

This guide outlines critical security best practices for design-to-code pipelines using Anima and Figma. It covers securing API credentials by restricting token scopes (e.g., read-only access for Figma), enforcing server-side execution for SDKs, and implementing robust secret management using cloud services like GCP Secret Manager. This minimizes the risk of credential leakage in CI/CD environments.

This comprehensive guide teaches developers how to build advanced, interactive, and data-driven components within Framer using React. It covers creating components with dynamic property controls (e.g., animated counters), integrating real-time data from external APIs, and implementing sophisticated behavioral code overrides (such as scroll-triggered animations or magnetic interactions). Ideal for extending Framer's capabilities for professional web design.