Skill UI

A universal assistant for conducting deep code reviews across major SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). It rigorously analyzes SQL code for critical vulnerabilities (like SQL injection), performance bottlenecks, maintainability issues, and adherence to industry best practices. Features include security audits, index optimization recommendations, query structure analysis, and schema design validation, ensuring robust and secure database development.

Cross-database SQL performance optimization assistant offering query tuning, indexing strategies, pagination, batch operations, and monitoring guidance for MySQL, PostgreSQL, SQL Server, Oracle, and other relational systems.

Automates Supabase projects by sequencing Composio Rube MCP workflows for database querying, schema inspection, SQL execution, project/org management, storage buckets, edge functions, and health monitoring while always refreshing tool schemas first.

This skill is designed for understanding complex database structures. It allows users to list all available tables, intelligently filter relevant tables based on natural language queries, retrieve detailed schemas (columns, types, primary/foreign keys), and map inter-table relationships. It culminates in generating the M-Schema format, which is essential for accurately preparing the context needed for advanced SQL query generation.

A comprehensive integration tool for automating lab data management within the Benchling cloud platform. It provides programmatic access via the Python SDK and REST API to core life science entities, including registry management (DNA, RNA, proteins), inventory tracking, Electronic Lab Notebook (ELN) entries, workflows, and data warehouse querying. Ideal for syncing data, building complex automations, and executing large-scale R&D data pipelines.

A comprehensive guide for Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers the entire database lifecycle, including schema management, direct query execution, complex data migrations (e.g., MySQL to DSQL), and advanced performance tuning via query plan analysis (EXPLAIN ANALYZE). Essential for secure, multi-tenant application development.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.

This script provides a minimal, working example using the Node.js SDK to interact with the Klaviyo API. It demonstrates core capabilities: creating or updating user profiles, tracking custom events associated with those profiles, and querying profile data. This is ideal for initial integration setup, testing basic API connectivity, or learning the foundational patterns of profile management and event tracking in an e-commerce marketing context.

Provides a comprehensive setup guide for running ClickHouse locally using Docker Compose. This includes defining the database schema, seeding mock data, and setting up robust integration tests (using vitest). Ideal for developers building OLAP systems or performing local data analysis to ensure schema and query reliability.

This workflow provides a comprehensive solution for keeping an Algolia search index synchronized with external source data. It covers critical tasks such as full reindexing (zero downtime), efficient partial updates to minimize latency, managing synonyms for better search relevance, and setting up advanced query rules. Ideal for maintaining robust, real-time search capabilities for SaaS applications.

A progressive walkthrough demonstrating core Attio API calls. Learn how to interact with the object/record model by listing objects, querying attributes, creating records (Person/Company), and linking related data. Ideal for developers starting a new Attio integration.

A comprehensive guide for migrating search functionality from alternatives like Elasticsearch, Typesense, or Meilisearch to Algolia. It details the necessary steps, including data migration, query translation (e.g., ES to Algolia), and implementing a zero-downtime swap using the Strangler Fig pattern.