Skill UI

This guide details how to use the official @linear/sdk to interact with the Linear project management API. It covers performing core CRUD operations, such as creating new issues, listing teams, querying issue states, and performing raw GraphQL requests. Ideal for developers needing to integrate Linear into a custom workflow, test API connectivity, or learn foundational automation patterns.

This comprehensive guide provides an end-to-end walkthrough for integrating with the Lokalise platform. It demonstrates core localization tasks, including listing projects, creating new multilingual projects, adding translation keys, and updating translations for multiple languages using both the Node SDK and the CLI. Ideal for developers establishing robust internationalization (i18n) pipelines.

This comprehensive guide demonstrates the fundamental workflow for creating, retrieving, and managing work orders using the MaintainX REST API. It provides actionable code examples using both cURL for quick testing and TypeScript for robust client implementation. It is essential for developers integrating a CMMS system or testing basic API connectivity.

This comprehensive guide provides minimal working examples for integrating with the Mistral AI API. It demonstrates core LLM functionalities including basic chat completion, streaming responses, multi-turn conversations, and generating structured JSON output. Use this guide when starting a new Mistral integration, testing API connections, or learning advanced AI patterns using TypeScript or Python.

A comprehensive, hands-on guide to building a minimal working Obsidian plugin. This skill demonstrates the five core building blocks of any Obsidian plugin, including defining typed settings, creating various command types (palette, editor, callback), implementing modals, and utilizing status bar updates. Perfect for developers new to the Obsidian API or those needing a structured way to learn core plugin patterns.

This module provides minimal working examples for the OpenEvidence API, designed for clinical intelligence applications. Users can perform complex clinical queries to get treatment recommendations, check potential drug interactions based on patient context, and search for authoritative medical guidelines from major health organizations (e.g., ACC/AHA). Ideal for developing evidence-based healthcare decision support systems.

This guide provides a comprehensive quickstart for integrating with OpenRouter, a unified endpoint for accessing multiple large language models (LLMs). It includes examples in cURL, Python, and TypeScript, demonstrating how to send chat completion requests, handle complex JSON responses, manage model parameters, and calculate usage cost across various providers (e.g., Llama, GPT-4o, Claude). Ideal for developers testing API connectivity or building multi-model applications.

Provides a minimal working example demonstrating how to integrate Perplexity's API for web-grounded answers. Learn to perform advanced searches, retrieve cited sources, and handle features like domain filtering and streaming using both TypeScript and Python. Ideal for integrating real-time, source-backed search functionality into applications.

This guide provides minimal working examples demonstrating the three core PostHog functionalities: event capture, user identification, and feature flag evaluation. It covers both server-side (Node.js, Python) and client-side (JavaScript) SDK usage, as well as direct API calls, making it perfect for initial integration setup, testing, and learning basic product analytics patterns.

This skill guides users through building a minimal yet comprehensive working application on the Replit platform. It demonstrates how to integrate and use core platform services such as the built-in Key-Value Database, Object Storage for file handling, user Authentication, and standard web frameworks (Express/Flask). Use this guide when starting a new Replit project or when learning the foundational infrastructure services provided by the platform.

This comprehensive guide demonstrates how to build and test a voice agent using the Retell AI SDK in TypeScript. It walks through configuring the underlying LLM with a custom persona, creating the voice agent instance, and finally initiating both outbound phone calls and web calls through the API. This is essential for integrating AI-powered voice communication into customer service platforms, call centers, or telephony automation systems.

This skill provides a comprehensive walkthrough for setting up and testing Sentry error monitoring using both Node.js and Python SDKs. It demonstrates how to capture various event types, including simple messages and full exceptions, and crucially, how to enrich these events with user context, searchable tags, and detailed breadcrumbs. This is essential for verifying robust error logging and monitoring in a production environment.