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.

A comprehensive tool designed to collect all necessary diagnostic evidence for troubleshooting Lokalise integration issues or filing support tickets. It gathers environment details (Node, Python, OS), tests API connectivity, lists project metrics, checks upload processes, and collects redacted logs, bundling everything into a single archive.

A comprehensive debugging toolkit designed for diagnosing complex issues within MaintainX integrations. It includes environment diagnostics, detailed request/response logging (using interceptors), and robust health checks for multiple core API endpoints. Use this when troubleshooting connectivity, data integrity, or unexpected API behavior.

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.

Automatically collects comprehensive diagnostic evidence for Mistral AI support tickets. This bundle includes environment details (OS, Node/Python versions), installed SDK versions, API connectivity test results, available models, and recent error logs. It is essential for reproducing and diagnosing persistent issues when contacting technical support.

Automates the Continuous Integration and Continuous Deployment (CI/CD) process for OpenEvidence clinical decision support integrations. This setup ensures that unit tests (using mocked evidence queries and citations) and live API connectivity tests are run automatically on every pull request and merge to main. It validates critical functions like query formatting, evidence parsing, citation extraction, and response quality scoring, maintaining high reliability for medical AI applications.

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.

This guide provides a comprehensive walkthrough for setting up and authenticating with the OpenRouter API. It covers generating secure API keys, configuring environment variables, and initializing clients in Python and TypeScript. Learn best practices for secure integration, including key management, verification, and key rotation, ensuring reliable connectivity to various large language models (LLMs).

This skill provides comprehensive, multi-layered diagnostic scripts for resolving complex and intermittent issues with the Perplexity Sonar API. It allows users to test connectivity (DNS, TLS, TCP), profile API latency, validate citation stability, and verify search recency filters. It is crucial when standard troubleshooting methods prove insufficient for diagnosing hard-to-replicate API bugs or performance regressions.

This tool is designed to collect comprehensive diagnostic evidence for troubleshooting Perplexity API issues. It automatically gathers critical environment details (OS, Node/Python versions), tests API connectivity, and captures redacted configuration settings. The resulting secure bundle is ideal for submitting detailed support tickets or sharing with technical teammates.

This guide provides comprehensive instructions for installing and configuring the Perplexity Sonar API authentication. It details setting up the necessary environment variables and using the standard OpenAI client library (for both Node.js and Python) to connect to Perplexity's API endpoint. Learning this process is essential for developers starting a new Perplexity integration, setting up API keys, or verifying API connectivity.

A comprehensive guide for integrating Plaid API into fintech applications. Covers secure link token creation, public token exchange for persistent access tokens, and real-time transaction synchronization using the /transactions/sync endpoint. Includes best practices for identity verification, ACH authentication, and webhook handling, ensuring robust financial data connectivity.