Skill UI

Implements an iterative development workflow using the Anima SDK. This tool allows developers to quickly generate, compare, and preview code outputs from Figma designs across multiple frameworks (React, Vue, HTML/CSS) in a local environment. Ideal for rapid prototyping, cross-framework comparison, and refining design-to-code implementation.

This skill provides a comprehensive guide and implementation for deploying a containerized AppFolio property management integration service using Docker. It covers building a production-ready image, configuring environment variables for multi-property setups, implementing health checks for API connectivity, and executing zero-downtime rolling updates across your property portfolio.

This guide provides a set of production-grade TypeScript patterns for robust interaction with the Attio REST API. It covers essential best practices including typed clients, automatic retry mechanisms with exponential backoff, cursor-based pagination iterators, and multi-tenant factory implementation, ensuring reliable and scalable API integration. Use these patterns to handle common API challenges like rate limiting and large datasets efficiently.

A collection of production-ready client implementation patterns for interacting with the Clari v4 API, provided in both Python and TypeScript. This guide covers essential functionalities like listing and exporting forecast data, implementing job polling, and managing complex data transformation pipelines, ensuring reliable and reusable integration for development teams.

A comprehensive guide and implementation template for building robust data ingestion pipelines into ClickHouse. Supports multiple sources including HTTP webhooks (with batching), Kafka streams, S3, and direct SQL inserts. Demonstrates best practices for data handling, such as deduplication using ReplacingMergeTree and monitoring query logs, ensuring reliable, scalable data analytics.

This skill provides comprehensive tools and best practices for interacting with Amazon Aurora DSQL, a PostgreSQL-compatible distributed SQL database. It covers schema management, secure query execution, multi-tenant architecture implementation, and safe data migration using MCP tools and CLI scripts. Ideal for building scalable, distributed applications.

This skill provides a comprehensive guide and implementation for deploying a containerized Fathom AI meeting service. It is designed to handle the processing of meeting transcripts, summaries, and action items via webhooks. The solution includes Docker setup, environment variable management, robust health checks, and detailed steps for implementing rolling updates, ensuring continuous and reliable meeting data synchronization.

This skill provides a comprehensive guide for deploying a containerized Finta integration service using Docker. It connects to the Finta API to manage critical fundraising data, including tracking fundraising rounds, investor pipelines, and deal flow analytics. The implementation covers environment configuration, health checks, and rolling update strategies, ensuring zero-downtime operation during active fundraising campaigns.

This guide provides production-ready patterns for integrating with the Grammarly API using both TypeScript and Python. It covers essential architectural aspects, including typed client implementation, robust token management (OAuth flow), and efficient text chunking for processing large documents. Use this when building scalable, reliable Grammarly-powered features into your application.

A comprehensive guide to implementing observability for Klaviyo API integrations. This solution uses Prometheus metrics (counters, histograms, gauges) to track API volume, latency, and errors, combined with OpenTelemetry for distributed tracing and structured logging. Ideal for setting up robust monitoring dashboards and critical alerting systems for marketing data pipelines.

This document provides a comprehensive guide to managing rate limits when interacting with the Lucidchart API. It details specific limits for various operations (e.g., shape creation, document listing, exporting) and offers implementation patterns, including a token bucket rate limiter class and robust retry strategies. Use this knowledge to build automated workflows that reliably handle high-volume batch processing and prevent API throttling.

A collection of production-ready patterns for wrapping the Canva Connect REST API, supporting both TypeScript and Python implementations. These patterns ensure robust API integration by handling automatic OAuth token refresh, implementing retry logic with exponential backoff, ensuring type safety, and supporting multi-tenant architectures. Use this when building resilient, reusable API wrappers for Canva services.