Skill UI

A comprehensive guide on implementing robust Role-Based Access Control (RBAC) for Klaviyo integrations. It details how to use scoped API keys and OAuth 2.0 flows to define granular read/write permissions across various resources (profiles, campaigns, events). This is essential for building secure, multi-tenant applications that require precise permission management.

This guide outlines setting up a robust, reproducible local development environment for Klaviyo integrations. It provides boilerplate for hot reloading, mocking the SDK, and running both unit and integration tests, ensuring fast and reliable API iteration cycles for marketing automation.

This guide details setting up a robust Continuous Integration (CI) pipeline for validating Lucidchart diagramming API integrations. It employs a two-tier testing strategy: fast, mocked unit tests for basic logic verification (no OAuth required), and comprehensive, live integration tests that run only on the main branch merge to confirm full CRUD operations and export functionality against the live Lucidchart API. It also includes best practices for managing API rate limits and common error handling.

This skill deploys a containerized integration service to programmatically manage and manipulate Lucidchart diagram documents. It handles sophisticated tasks like manipulating shapes, updating connectors, and synchronizing visual collaboration data using the Lucid API. Ideal for integrating automated diagram generation and maintenance into CI/CD pipelines and enterprise workflows.

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 comprehensive guide and setup for establishing a fast, reproducible local development loop for web scraping projects using Bright Data. It includes configuring proxy modules, implementing response caching to save credits, and setting up mocked test suites (using Vitest) for robust, isolated testing without requiring live proxy access or consuming resources.

This workflow provides an end-to-end programmatic solution for managing the Canva design lifecycle. It allows users to create new designs via the API, redirect users to the editor for modifications, retrieve design metadata, and finally, export finished assets in various high-quality formats (PDF, PNG, JPG, etc.). Ideal for integrating design capabilities into external applications like CMS or marketing automation tools.

This comprehensive guide details setting up a secure Canva Connect API integration using the OAuth 2.0 Authorization Code flow with PKCE (Proof Key for Code Exchange). It covers the entire lifecycle: client registration, token generation, code exchange for access tokens, and refreshing expired tokens. Use this skill when building applications that require programmatic access to Canva's design and asset management capabilities.

A production-ready guide detailing the best-practice architecture for integrating with the Canva Connect API. It outlines the project structure, layer architecture (Routes, Services, Client, Infrastructure), authentication flow (OAuth 2.0 PKCE), and best practices for handling design creation, asset management, and exports. Use this when building new Canva-powered applications or standardizing existing integration projects.

A comprehensive skill for implementing secure, real-time webhook endpoint handling for Canva. This module covers receiving and verifying signed JWT payloads using JWK keys, enabling your application to react instantly to various user interactions (e.g., comments, design sharing, access requests). Ideal for building sophisticated SaaS integrations and automating workflows based on Canva activity.

This skill guides the setup and configuration of the CAST AI Workload Autoscaler, enabling dynamic right-sizing of pod resource requests (CPU and Memory). It automatically adjusts resources based on actual usage, significantly reducing cloud over-provisioning costs. Use this guide to implement workload scaling policies, configure resource limits via Kubernetes annotations, and monitor scaling events in Kubernetes environments.

This skill provides blueprints for deploying Clari data export pipelines into robust, production-grade cloud environments. It guides users on setting up reliable, scheduled, and serverless data syncs using major platforms like Airflow DAGs, AWS Lambda, and Google Cloud Functions. Ideal for automating revenue forecasting and business intelligence data extraction.