Skill UI

Automates pivot table creation in data analytics workflows, guiding SQL queries, visualization choices, statistical checks, and BI configurations whenever the user invokes pivot table creator support.

Generates tailored disaster recovery plans and setup code that automate infrastructure configuration, encryption, testing, and multi-region failover for AWS or other environments when you request DR strategy or business continuity support.

Automates Plotly chart creation by offering step-by-step guidance, best-practice patterns, and production-ready code or configuration whenever visual content, diagrams, or presentations need charts.

This guide details the recommended pattern for managing per-project plugin settings and state within a development environment. Plugins store their configuration in a dedicated `.claude/plugin-name.local.md` file. This file utilizes YAML frontmatter for structured settings (like enabling flags, retry counts, and parameters) and a Markdown body for additional context or instructions. It provides techniques for reading these settings using Bash hooks, commands, and agents.

A comprehensive guide maintained by Supabase for optimizing Postgres performance. It provides critical rules and best practices across query performance, schema design, connection management, and security (including RLS). Use this skill when writing, reviewing, or optimizing complex SQL queries, database schemas, or configurations to ensure optimal database health and performance.

Quick reference of PostgreSQL best practices covering indexing cheatsheets, data type choices, security policies, and configuration templates to guide optimization and troubleshooting workflows.

A specialized, comprehensive workflow designed for optimizing PostgreSQL databases. It guides users through performance assessment, advanced query tuning (using EXPLAIN ANALYZE), defining optimal indexing strategies, fine-tuning configuration parameters (like shared_buffers), and setting up robust maintenance and monitoring practices for production environments.

A comprehensive guide for deploying PostHog analytics platform across diverse production environments. Covers advanced configurations for Next.js/Vercel (including reverse proxy for ad blocker bypass and edge functions for server-side capture), self-hosted setups using Docker, and deployment patterns for Google Cloud Run. Ensures robust, reliable user behavior tracking regardless of the hosting platform.

This skill guides the complete setup and configuration of PostHog SDKs for modern applications. It covers best practices for implementing client-side (browser) and server-side (Node.js/Python) event tracking. Users will learn how to install the necessary SDKs via npm or pip, manage environment variables for both Project API Keys and secure Personal API Keys, and initialize the tracking service correctly to ensure accurate and reliable event capture in PostHog.

A comprehensive checklist and guide for ensuring robust PostHog integration in a production environment. It covers crucial topics like SDK configuration hardening, implementing graceful degradation, setting up health check endpoints for monitoring, and handling serverless shutdown hooks to maximize reliability during deployment and operation.

Automates Postmark transactional email workflows via Rube MCP’s Composio toolkit, handling templated batch sends, template edits, delivery statistics, bounce and complaint monitoring, and server configuration while enforcing current schema discovery.

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.