Skill UI

A comprehensive guide to setting up a robust and efficient local development environment for Intercom integrations. This workflow emphasizes test isolation, utilizing mock clients (e.g., vitest) for reliable unit testing, proper environment variable management, and simulating real-world interactions via webhook tunneling (ngrok). It ensures fast iteration cycles when developing SaaS features against the Intercom API.

A comprehensive guide to setting up CI/CD pipelines for Klaviyo integrations using GitHub Actions. This guide covers configuring GitHub secrets, running unit tests, and executing real-world integration tests against the live Klaviyo API, ensuring reliable deployment automation for your marketing SDKs.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

This guide outlines a robust, two-tier Continuous Integration (CI) strategy for validating Linktree link-in-bio API integrations. It utilizes mock unit tests to verify core functionality (link CRUD, reordering) without needing a live API key. Furthermore, it implements dedicated integration tests on the main branch merge, authenticating with a real Bearer token to confirm link ordering, analytics endpoints, and rate limit handling against the live Linktree API, ensuring production-ready code quality.

This guide details migrating outdated and unsafe `as` type assertions in TypeScript test files. It introduces `@total-typescript/shoehorn`, which provides type-safe functions like `fromPartial()` and `fromAny()`. Use this utility when unit tests need to mock large objects or pass only a subset of required data, thereby maintaining strict type checking and improving test robustness. Note: This is strictly for test code.

A comprehensive CI pipeline solution for validating MindTickle sales enablement API integrations. This tool implements a two-tier testing strategy: unit tests use mocking to verify logic without API calls, while integration tests run against the live MindTickle API on main branch merges, securely requiring both an API Key and Company ID. It ensures robustness, manages API rate limits, and provides detailed error handling guidelines for developers.

This guide provides a comprehensive setup for configuring CI/CD pipelines for Miro REST API v2 integrations. It uses GitHub Actions to automate unit and integration testing, validate API connectivity, and implement crucial cleanup steps to ensure test isolation and reliable results.

This skill provides a comprehensive guide to setting up a robust local development workflow for building Miro integrations. It encompasses hot reloading for rapid iteration, structured unit and integration testing using Vitest, and configuring ngrok tunneling for simulating real-world webhooks and interacting with the Miro REST API v2.

This skill guides users through setting up a robust, local development loop for Notion integrations. It covers creating dedicated development tokens, structuring the project for testability, implementing mocked SDK unit tests, and handling API rate limits with exponential backoff retries. This ensures rapid, reliable iteration and testing without compromising production data safety.

This skill uses the OCI Usage API and SDK to programmatically track spending across compartments, services, and shapes. It allows users to query granular cost data, set detailed budget alerts (e.g., 80%, 95%, forecast), and identify cost optimization opportunities like utilizing Always Free tiers or preemptible instances, ensuring proactive and precise cloud cost management.

Comprehensive guide for setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Palantir Foundry integrations using GitHub Actions. This workflow covers running PySpark unit tests, performing SDK integration tests with mocked APIs, and implementing custom linting rules to enforce Foundry-specific best practices. Use this when ensuring code quality and validating complex business logic changes in an automated build process.

A structured guide for setting up a robust local development environment for Palantir Foundry data pipelines. This workflow enables users to run Python transforms and unit tests using PySpark against sample data, and mock the Foundry API client, ensuring fast, isolated iteration cycles before deploying code to the official Foundry environment. Ideal for data engineers and developers building complex ETL logic.