Skill UI

A powerful operational companion for database developers. This skill assists with the daily lifecycle of database interactions, including translating natural language requirements into optimized SQL queries, generating database migrations, performing comprehensive schema introspection across multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), and identifying performance bottlenecks through detailed query optimization and index recommendations. It also supports ORM patterns like Prisma and SQLAlchemy.

This skill guides users to discover and install specialized agent capabilities from a vast open marketplace. It handles complex natural language queries like "how do I do X" or "find a skill for Y," ensuring the user receives the most relevant, high-quality, and battle-tested tools for development, testing, or design tasks, followed by secure, managed installation procedures.

Use this skill to correctly set up Firebase Data Connect in Flutter apps. Covers schema and connector design, typed SDK generation, executing queries and mutations, real-time listeners, pagination, offline handling, error recovery, and security rules.

Guidance for integrating Firebase Realtime Database in Flutter apps: data modeling, real-time sync, queries, offline persistence, presence, transactions, fan-out, and security rules. Choose Realtime Database for simple models and low latency or Cloud Firestore for complex querying and scalability.

Guides multi-round investigation of any GitHub repository, combining API queries, discovery searches, and deep dives to produce structured markdown reports with summaries, timelines, metrics tables, and Mermaid diagrams for executive-ready briefs.

A comprehensive guide for writing safe, explicit, and observable database code in Go. It covers best practices for using standard libraries like `database/sql`, `sqlx`, and `pgx`. Key topics include parameterized queries, context propagation, transaction management, connection pooling, and ensuring data integrity while avoiding common pitfalls like ORMs and SQL injection.

Security-first development practices for web applications. Covers threat modeling with STRIDE, OWASP Top Ten defenses, input validation, parameterized queries, authentication and session hardening, security headers, dependency auditing, and supply-chain risk assessment.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.

This guide provides comprehensive patterns for migrating Enzyme unit tests to React Testing Library (RTL), especially when upgrading to React 18. It emphasizes the crucial philosophical shift from testing internal implementation details (like state or props) to asserting visible user behavior. Learn best practices for rewriting shallow/mount/simulate calls into modern, accessible, and resilient RTL queries, ensuring your tests reflect how a user genuinely interacts with the component.

This script provides a lightweight, standalone Python integration for Google Sheets, offering full read and write access without needing a dedicated server. Users can retrieve spreadsheet data in multiple formats (plain text, CSV, JSON), extract specific ranges, find sheets via search queries, and perform advanced write operations like updating, appending, or clearing cell values. It is highly suitable for automating data reporting, extraction, and workflow integrations involving Google Workspace.

Automates Linear issues, projects, cycles, labels, comments, and GraphQL workflows through Rube MCP’s Composio toolkit so teams can manage states, tasks, and custom queries without juggling direct APIs.

Assistant for PostgreSQL developers that highlights native features, advanced data types, performance tuning patterns, and extension usage to optimize queries, indexes, and analytics in PostgreSQL projects.