Slow Spark jobs waste resources and delay insights. This skill provides proven patterns for partitioning, caching, shuffle optimization, and memory tuning to accelerate your data pipelines.

Vector similarity search is essential for semantic search and RAG systems but requires careful index selection and tuning. This skill provides ready-to-use patterns for Pinecone, Qdrant, pgvector, and Weaviate with hybrid search and reranking.

Multiple pages competing for the same keywords hurts your search rankings. This skill analyzes content overlap and provides actionable strategies to resolve cannibalization.

Search engines prioritize content with strong Experience, Expertise, Authority, and Trust signals. This skill audits your content and provides actionable steps to improve credibility and search rankings.

Integrate Segment Customer Data Platform with Claude Code to implement client-side and server-side tracking, design tracking plans, and manage data governance across your application.

Automate customer data platform operations in Segment including event tracking, user identification, group management, and batch processing through Rube MCP integration.

Financial professionals need accurate risk measurement to protect capital and optimize returns. This skill provides comprehensive risk metrics including VaR, CVaR, Sharpe ratio, Sortino ratio, and drawdown analysis for informed investment decisions.

Traders struggle with inconsistent risk measurement and emotional decision-making. This skill provides systematic R-multiple tracking, position sizing, and hedging strategies for disciplined portfolio protection.

Implementing RAG systems requires coordinating multiple components including embeddings, vector databases, and retrieval pipelines. This workflow provides a structured approach to build production-ready RAG applications.

RAG systems often fail due to poor chunking strategies and naive retrieval. This skill provides expert patterns for semantic chunking, hybrid search, and context optimization to build production-grade retrieval systems.

Develop and backtest algorithmic trading strategies with risk metrics and portfolio optimization. Get actionable insights for quantitative finance without requiring deep expertise in financial modeling.

Struggling to price your product confidently? This skill provides research-backed frameworks for value-based pricing, tier design, and monetization strategy that align with customer willingness to pay.

Manually managing PostHog events and feature flags is time-consuming and error-prone. This skill enables AI assistants to capture events, query analytics, and manage feature flags through natural language commands via MCP tool orchestration.

PostgreSQL databases can suffer from slow queries and poor performance without proper optimization. This skill provides a systematic workflow for query tuning, indexing, and configuration management.

Database schema design errors cause performance issues and data integrity problems. This skill provides PostgreSQL-specific best practices for data types, indexes, constraints, and scalability patterns.

Struggling with slow database queries and poor performance? This skill provides battle-tested PostgreSQL optimization rules from Supabase with concrete SQL examples and measurable performance improvements.

This skill enables developers to create podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model. It handles WebSocket connections, audio streaming, and format conversion to produce natural-sounding speech.

Building fintech apps requires secure Plaid API integration patterns. This skill provides proven approaches for Link token flows, transaction sync, webhook handling, and compliance requirements.

Handle PDF forms, extract text and tables, merge or split documents, and create new PDFs programmatically. This skill eliminates manual PDF editing by automating form filling, data extraction, and document assembly tasks.

This skill provides expert guidance for designing distributed NoSQL databases (Cassandra, DynamoDB). It helps developers understand query-first modeling, single-table design, and avoid common pitfalls like hot partitions.