Skill UI

A comprehensive guide for diagnosing and fixing common errors and exceptions encountered when using the Mistral AI API. Covers critical topics such as 401 Unauthorized, 429 Rate Limiting, invalid model IDs, context length limits, and server errors, providing actionable fixes and code snippets for developers.

This toolkit provides a comprehensive framework for managing and optimizing API costs when using Mistral AI. It includes functions for calculating token-based costs across various models, implementing a smart model router based on task complexity, and managing daily/monthly budgets with critical alerts. Furthermore, it offers methods for prompt optimization to reduce token consumption, making it essential for large-scale application cost control and billing analysis.

A comprehensive guide to establishing a fast, reproducible local development lifecycle for Mistral AI integrations. This workflow includes setting up project scaffolding, implementing hot reloading with tsx, performing unit tests with Vitest mocking, and executing live integration tests against the Mistral API. Ideal for setting up reliable AI application development environments.

Provides comprehensive strategies for managing API rate limits (RPM/TPM) when integrating with Mistral AI. This guide demonstrates implementing token-aware rate limiters, exponential backoff, and robust retry mechanisms using `Retry-After` headers, ensuring high throughput and stable application performance for large-scale LLM applications.

This guide provides production-ready patterns for integrating the Mistral AI SDK in both TypeScript and Python. It covers essential best practices such as singleton client management, handling structured JSON output, implementing streaming responses, concurrent asynchronous processing, and robust error handling with exponential backoff. Use this when establishing team coding standards or refactoring Mistral API usage.

This comprehensive skill guides developers through major version upgrades of the Mistral AI SDK. It specifically detects breaking changes, such as the shift from CommonJS to ESM, and provides detailed steps, automated code transformation scripts, and best practices for migrating existing code. Use this when jumping major SDK versions or refactoring complex Mistral integrations to ensure a smooth transition to the latest API.

A comprehensive guide for developing custom external web service APIs for the Moodle Learning Management System (LMS). It covers Moodle's required API framework, coding standards, and the essential three-method pattern (execute_parameters, execute, execute_returns) necessary for integrating custom functionality, such as course management, quiz operations, and reporting, with external applications.

This comprehensive workflow guides the process of building and deploying new features that must maintain consistent functionality and design across multiple operating systems (web, mobile, and desktop). It strictly follows an API-first architecture, starting with defining shared API contracts (OpenAPI/GraphQL) and a unified design system. The process then guides parallel implementation across specialized stacks like React/Next.js, SwiftUI, and Jetpack Compose, ensuring high code consistency and faster time-to-market.

Streamlines Nango operations by guiding users through Rube MCP workflows, enforcing schema-aware tool discovery, connection checks, and multi-tool execution to reliably manage API integrations.

This comprehensive guide outlines best practices for developing modern, scalable applications using the Next.js App Router. It covers critical architectural patterns, including the decision-making process between Server and Client Components, advanced data fetching strategies (caching, revalidation), file-system routing principles, API route handling, and performance optimizations like image and bundle splitting. Essential knowledge for building robust full-stack React applications.

Guides you through diagnosing Next.js getServerSideProps, getStaticProps, and API route failures by checking terminal logs, adding explicit try-catch handling, and reviewing hosting logs or common causes like env vars, DB, or serialization issues.

This skill provides comprehensive guidance for building scalable, maintainable, and production-ready backend applications using Node.js. It covers modern architectural patterns, best practices, and implementation details for REST APIs, GraphQL servers, microservices, authentication, real-time WebSockets, and complex database integrations (SQL/NoSQL).