Skill UI

A comprehensive guide to implementing robust, multi-layered API response caching using distributed stores like Redis and Memcached, alongside CDN integration. Learn advanced strategies such as tag-based cache invalidation, read-through/write-through patterns, TTL management, and serving stale-while-revalidate content to drastically boost application performance and scalability.

Helps manage container registries like AWS ECR, Google GCR, and Harbor by generating configuration code, guiding access controls, and advising best practices for secure, production-ready image storage and deployment automation.

Automates database replication tasks with the database-replication-manager plugin, covering setup, failover, lag monitoring, and read scaling for PostgreSQL/MySQL clusters.

Manages snapshot tests for Jest, Vitest, Playwright, and Storybook by analyzing failures, distinguishing intentional changes from regressions, and selectively updating only the affected snapshots to keep suites accurate.

This guide provides comprehensive, step-by-step instructions for installing and configuring the Manifest observability plugin for your AI agent. Users can use this skill to set up telemetry, connect the agent to Manifest for real-time monitoring, manage API keys, and troubleshoot various connection issues, ensuring full system observability.

This mandatory guide provides comprehensive best practices, architectural patterns, and security considerations for building production-ready MCP servers. It serves as the primary reference for developers modifying or creating new server components, including tools, resources, prompts, and widgets, ensuring adherence to industry standards and structured workflows.

Memory provides persistent context across multiple coding sessions. It stores crucial project decisions, user preferences (like preferred package managers or specific libraries), and architectural conventions in a local memory file. This ensures that the AI maintains consistency, recalls past choices automatically, and applies project-specific rules without needing constant reminders, significantly improving workflow continuity and reliability.

Automates GCP Memorystore configuration by guiding users through best-practice patterns, generating production-ready resources, and validating outputs whenever the skill detects memorystore config queries.

This skill acts as a specialized expert for generating professional and complex diagrams using Mermaid syntax. It specializes in creating flowcharts, sequence diagrams, ERDs, state charts, Gantt charts, and various system architectures. It adheres to best practices, ensuring readability, consistent styling, and providing complete, ready-to-use code for multiple diagram types.

Automates migration guide creation by providing step-by-step documentation patterns, best practices, and validated snippets for APIs, user guides, and architecture docs.

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.

This guide provides comprehensive instructions for installing and configuring the official Mistral AI SDK (for both Python and Node.js). It covers setting up API keys via environment variables, verifying the connection, and implementing secure credential storage using Secret Managers (GCP/AWS) for production environments. Ideal for starting any new Mistral AI project.