Skill UI

Configures a robust CI/CD pipeline for Apollo.io integrations using GitHub Actions. It implements multi-stage testing, including unit tests (using MSW mocks for zero API calls), live integration tests (gated to main branch), and secret scanning. Ensures reliable and safe deployment practices for SaaS applications.

This comprehensive guide sets up a robust and isolated local development environment for Apollo.io integrations. It covers essential steps including configuring sandbox API keys, implementing a Mock Service Worker (MSW) for reliable offline API mocking, setting up detailed request logging, and configuring Vitest for efficient local testing. Ideal for developers building and debugging complex, API-dependent features.

A comprehensive guide to setting up a fast, reproducible local development environment for BambooHR integrations. This workflow incorporates hot reloading, API mocking (using MSW), and robust unit/integration testing. It allows developers to establish a rapid, isolated, and stable iteration cycle for building or testing third-party HR platform connections.

A comprehensive setup guide for developing Canva Connect API integrations locally. It covers implementing the OAuth 2.0 flow with PKCE, setting up a robust mock API server (using MSW) for reliable unit and integration testing, and configuring hot reloading for fast iteration cycles. Ideal for developers building SaaS applications connected to Canva.

This guide sets up robust CI/CD pipelines for validating Attio integrations. It combines mocked unit tests (using MSW) for speed and gated live API integration tests for pre-release validation. Use this to ensure complete code reliability and automated quality checks across all development pushes.

A comprehensive setup for creating a fast and reproducible local development loop for building Attio REST API integrations. This guide includes project structure setup, typed client generation, a mock server implementation (using MSW) for offline development, and a full test harness for unit and integration testing. Ideal for developers building complex SaaS integrations.

This guide details how to set up robust CI/CD pipelines for Canva Connect API integrations using GitHub Actions. It covers unit testing with MSW mocks and full integration testing, including secure secret management and automatic token refreshing workflows. Use this when automating Canva API tests in your build process to ensure reliable deployments.

This skill provides comprehensive strategies for testing OneNote integrations within CI/CD pipelines. It supports mock-only PR checks using MSW for zero-dependency testing, and robust live integration tests for nightly builds using Azure AD credentials. Ideal for automating quality assurance when connecting OneNote features via the Graph API.

This skill establishes a local development loop for OneNote integrations. It uses Mock Service Workers (MSW) to intercept calls to the Microsoft Graph API, providing realistic, fixture-based responses (e.g., Notebooks, Sections, Pages). This allows developers to rapidly build and test OneNote features without needing live Azure credentials or worrying about rate limit restrictions during development cycles.

This guide provides comprehensive patterns for behavior-focused testing of React components, custom hooks, and pages. It covers best practices using React Testing Library (RTL), including accessibility assertions, simulating user interactions (userEvent), and network mocking with MSW. It also helps developers define clear test boundaries between unit component tests and full E2E flows.

This guide provides detailed reporting norms for reducing and analyzing complex Earth and Planetary Science Letters (EPSL) data, specifically focusing on isotope geochemistry and geochronology. It mandates full uncertainty budgeting, proper statistical interpretation (e.g., MSWD, weighted means), and thorough model diagnostics to ensure results are scientifically defensible and reproducible.

This guide provides rigorous standards for developing figures and tables in Earth and Planetary Science Letters (EPSL). It emphasizes making complex scientific arguments legible to a cross-disciplinary audience by mandating visible uncertainty (error ellipses, error bars), providing spatial context, and adhering to strict sub-field conventions (e.g., MSWD, depth scales). It teaches how to structure exhibits so that figures carry the argument, while detailed data resides in the supplementary material.