Skill UI

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

Analyzes mental health data to identify psychological patterns, assess well-being, and provide personalized recommendations. Supports correlation analysis with sleep, exercise, and nutrition data.

The mmx-cli tool enables users to interact with the MiniMax AI platform directly from the terminal. It supports generating text, images, videos, speech, and music, as well as performing web searches and managing API resources. Ideal for developers and creators needing media content generation or AI model interaction via command line interfaces.

This skill analyzes data warehouses to identify stale, unused, or redundant tables that increase storage costs. It classifies waste patterns, computes safety tiers, and provides actionable cleanup recommendations. Supports Snowflake, BigQuery, Redshift, and Databricks. Ideal for reducing cloud infrastructure expenses and optimizing data governance.

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries. Supports GitHub PR URLs and local repositories. Creates interactive notebooks for database validation across Snowflake, BigQuery, Redshift, and Athena. Includes schema inference from dbt_project.yml and model configs.

Use this skill for implementing or debugging network requests, API calls, and data fetching in React Native and Expo projects. Covers fetch API, React Query, SWR, caching strategies, offline support, and Expo Router data loaders. Essential for handling authentication, environment variables, and network errors effectively.

Create and manage Neon Postgres branches for testing and development. Supports normal branches with real data for migration testing, and schema-only branches for sensitive data workflows. Use Neon CLI or MCP to create, validate, and reset branches. Ideal for isolated test environments and migration testing with production-like data. Includes guidance for branch type selection and tool authentication.

This skill generates ready-to-use CI/CD pipeline configurations for automated API testing using Newman. It supports multiple platforms including GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI. Users can specify collection sources, environment variables, and report formats like JUnit or HTML. The generated scripts install Newman and execute Postman collections within the pipeline, ensuring consistent API quality checks across different development environments.

This skill enables users to discover and access NEXRAD radar data for specific sites, times, and products. It supports retrieving Level II archive volumes, real-time chunks, and Level III sources with metadata validation. It helps select reflectivity, velocity, and other radar moments from AWS S3 buckets while ensuring data integrity.

This skill generates scientifically accurate plots from NEXRAD Level II/III site scans and decoded radar mosaics. It ensures correct radar geometry, map grids, units, quality masks, timestamps, and data provenance. Suitable for meteorological analysis, it supports plotting reflectivity, radial velocity, dual-polarization moments, and various views like PPI, RHI, and cross-sections. It validates data integrity before visualization to prevent misleading interpretations.

This skill provides a complete production-ready Docker setup for Odoo ERP. It includes PostgreSQL database configuration, persistent volume management, environment variable handling, and optional Nginx reverse proxy with SSL support. Suitable for local development, VPS deployment, and troubleshooting container issues. Covers docker-compose.yml generation and odoo.conf tuning for optimal performance.

This skill generates and validates Odoo XML view definitions for Form, List, Kanban, Search, Calendar, and Graph views. It supports Odoo versions 14 through 17, ensuring correct visibility syntax and widget usage. Ideal for customizing model interfaces and migrating from deprecated attrs to inline expressions.