Skill UI

Execute comprehensive load, stress, and soak tests to validate API performance, identify scaling bottlenecks, and establish throughput baselines. This tool simulates realistic, high-volume traffic patterns using industry-standard tools like k6 or Artillery, allowing users to define complex scenarios (e.g., e-commerce checkout flows, traffic spikes) and assert performance thresholds (p95 latency, error rates). It helps pinpoint resource limitations in databases, network layers, or compute resources, ensuring the API is ready for production scalability.

A comprehensive deep dive guide for migrating translation memory (TM) and localization content from competing Translation Management Systems (TMS) like Crowdin, Phrase, or POEditor into Lokalise. This process involves exporting data from the source platform, transforming key variables and file structures to match Lokalise conventions, and finally performing a bulk API upload to establish a new, centralized localization repository. Perfect for re-platforming or migrating existing translation pipelines.

This guide provides production-grade coding patterns for integrating Lokalise into TypeScript and Node.js applications. It covers crucial best practices such as client singleton implementation, robust cursor-based pagination for large datasets, structured error handling with retry logic, and efficient batch operations. Implementing these patterns ensures reliable, scalable, and maintainable API usage.

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 guide demonstrates how to implement robust Role-Based Access Control (RBAC) for MaintainX integrations using TypeScript and Express. It defines multiple user roles (Admin, Manager, Technician, Viewer) with specific, granular permissions across various resources (work orders, assets, locations). The implementation utilizes permission middleware and scoped API keys to ensure that users can only perform actions designated by their assigned role, enforcing security and data integrity at the API level.

This comprehensive guide provides step-by-step instructions and complete code examples for setting up and configuring the MaintainX REST API. It covers best practices for generating API keys, setting up secure environment variables, and implementing robust client wrappers in both TypeScript and Python. Use this skill when integrating CMMS data (such as work orders, assets, and locations) into external applications.

This guide provides advanced techniques for optimizing API integration performance with MaintainX. It covers essential concepts such as connection pooling, implementing multi-level caching (L1/L2 using Redis), batch data loading via DataLoaders, efficient cursor-based pagination, and request deduplication. Use this skill when optimizing slow API responses or improving overall system data throughput.

A comprehensive client library pattern for interacting with rate-limited APIs. This solution implements exponential backoff, robust retry logic (handling 429/5xx errors), concurrent request queuing, and cursor-based pagination. It ensures high throughput and reliable data fetching without exceeding API limits.

This tool provides comprehensive methodologies for planning and executing zero-downtime system migrations. It covers database schema evolution, API compatibility analysis, and infrastructure cutovers, generating detailed rollback strategies and utilizing patterns like Strangler Fig and CDC to minimize business impact during high-risk transitions.

A comprehensive workflow for advanced AI applications using Mistral AI. This guide covers generating text and code embeddings (1024 dimensions), implementing semantic search via cosine similarity, and building robust RAG pipelines. It also demonstrates advanced tool augmentation using function calling, allowing LLMs to interact with external APIs and databases.

This skill provides comprehensive patterns for handling sensitive data when integrating with Mistral AI. It covers PII redaction (emails, phone numbers, etc.), implementing data retention policies, and enforcing compliance with global privacy regulations like GDPR and CCPA. Key features include safe API wrappers, dataset sanitization for fine-tuning, and conversation history management with TTL and user erasure rights.

Automatically generates robust, schema-compliant mock API servers directly from OpenAPI specifications. This tool supports advanced testing features, including stateful CRUD operations, Faker-driven dynamic data generation, configurable latency simulation, and detailed request recording for contract testing. Ideal for frontend parallel development and isolated integration testing.