Skill UI

A comprehensive guide for developers upgrading the Lokalise Node.js SDK across major versions (e.g., v8 CommonJS to v9 ESM). This skill detects and resolves breaking changes, including module system shifts (require to import), updating package configurations, and modernizing pagination from offset to cursor-based methods, ensuring smooth API integration.

A comprehensive guide for configuring and managing multiple, isolated deployment environments (development, staging, production) for SaaS applications. It covers best practices such as using environment variables for configuration, implementing client factories for resource isolation, integrating secure secret management (e.g., GCP Secret Manager), and running validation scripts to ensure consistency and security across all deployment stages.

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.

Manages environment configurations and secrets across development, staging, and production deployments by invoking the environment-config-manager plugin to generate, update, or retrieve files, keeping DevOps workflows secure and consistent.

Helps Claude manage Kubernetes network policies and firewall rules by generating or updating YAML configurations based on infrastructure needs, ensuring secure pod-to-pod communication and compliance with least-privilege principles.

Defines MCP server tooling with file search, query execution, resource endpoints, prompt templates, and transport configurations alongside a client setup example for streamlined project automation.

Guides plugin developers through integrating Model Context Protocol (MCP) servers into Claude Code, covering configuration files, server types (stdio, SSE, HTTP, WS), environment variables, and authentication so external services appear as structured tools.

Automated memcached configuration assistant that provides best-practice guidance and production-ready snippets for caching, database, messaging, and microservices patterns in backend services.

Automates the setup of memory profilers for performance testing workflows, guiding users through best practices, code/configuration generation, and validation against industry standards whenever memory profiler setup is mentioned.

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.

Guides authorized security testers through the Metasploit Framework workflow, from msfconsole basics and module discovery to exploit configuration, payload choice, and post-exploitation evidence collection for comprehensive assessments.

This comprehensive guide details the deployment process for Mistral AI-powered applications across various cloud and container platforms, including Vercel, Docker, Google Cloud Run, and self-hosted vLLM setups. It covers secure API key management, platform-specific secret configuration, and the full steps required to establish robust, scalable production pipelines for your AI model.