Skill UI

This guide provides comprehensive, structured SDK patterns for interacting with the Linktree REST API. It addresses critical development challenges such as managing rate limits (429), handling authentication failures (401), and ensuring data consistency through typed objects. Patterns include a thread-safe singleton client, robust error wrappers with exponential backoff, fluent request builders for pagination, and middleware for logging and authorization, making API integration reliable and scalable.

This guide provides comprehensive instructions for setting up and authenticating the Lucidchart SDK/API. It covers installation via npm/pip and configuring credentials (API keys, client secrets) using environment variables. Use this when starting a new project requiring programmatic diagram creation, document management, or integration with Lucidchart.

A comprehensive guide for developers implementing secure integrations with Lucidchart. Covers critical security measures including OAuth2 client credential management, webhook signature verification (HMAC-SHA256), API version pinning, robust access control, and data redaction for handling sensitive diagrams and proprietary data.

This guide provides structured patterns for reliably interacting with the MindTickle REST API. It addresses complex enterprise challenges, such as org-aware authentication, handling nested progress data, and ensuring strict SCIM compliance. Key patterns include robust error wrappers (with rate limit retry logic), type-safe query builders for progress tracking, middleware for request scoping, and mock factories for testing sales readiness workflows.

A comprehensive guide for developers on installing and configuring the official @mirohq/miro-api Node.js client. This skill provides step-by-step instructions for setting up the full OAuth 2.0 authorization code flow, managing client credentials, and implementing token refresh patterns to ensure secure and reliable access to the Miro REST API v2. Use this when building automated applications or integrating Miro features into a custom backend service.

A comprehensive guide providing production-ready, structured patterns for interacting with the Miro API. It covers best practices for both the high-level stateful client usage and the low-level REST API v2. Includes patterns for implementing robust Board Services (fetching, pagination) and Item Factories (creating various elements like sticky notes, shapes, and cards). Essential for developers building SaaS applications or complex automation workflows using Miro.

A comprehensive guide for developers implementing secure integrations with the Miro REST API v2. This guide covers critical security best practices, including OAuth 2.0 scope minimization, robust token lifecycle management (refreshing tokens), verifying webhooks using signatures, and implementing client secret rotation protocols. Essential for building reliable and secure SaaS applications connected to Miro.

This powerful CLI allows users to interact with the MiniMax AI platform directly from the terminal. It supports generating and managing diverse multi-modal content, including text, images, video, speech, and music, in addition to performing web searches and analyzing images. It is essential for integrating complex AI capabilities into automated workflows, CI/CD pipelines, or agent-based systems.

This comprehensive skill manages the entire computer vision pipeline, from custom dataset annotation to model deployment. Users can fine-tune YOLO models on proprietary COCO-formatted datasets using an agent-driven workflow. Key features include hardware-aware training (supporting CUDA, MPS, ROCm), automatic export to optimized formats (TensorRT, CoreML, OpenVINO, ONNX), and seamless, one-click deployment as an active detection skill.

This utility publishes various Aegis-related events (such as person detection, alerts, and clip completion) to an MQTT broker. It is designed for seamless integration with smart home and automation platforms like Home Assistant or Node-RED, enabling real-time, event-driven monitoring and system linkage.

This comprehensive guide details how to set up OAuth 2.0 client credentials for the Navan REST API. It provides complete, runnable code examples in both TypeScript (Node.js) and Python. Users can follow these steps to exchange client secrets for a secure bearer token, enabling programmatic access to Navan's booking and travel data. This is essential for configuring new Navan integrations or rotating API credentials.

Build a robust, typed API wrapper for Navan's REST endpoints, compensating for the lack of an official SDK. This pattern provides automated OAuth 2.0 token lifecycle management, built-in retry logic (for rate limiting and service downtime), and structured error handling, ensuring reliable, type-safe API interactions in production environments.