Managing complex data workflows across ETL processes, analytics, and feature engineering requires coordinated orchestration and quality enforcement. This skill acts as a CTO-Data role, coordinating data tasks while maintaining 95 percent minimum quality standards.

This skill provides ready-to-use SQLAlchemy 2.0+ patterns for async database operations. It includes type-safe models, CRUD operations, relationships, and performance optimizations for building robust data services.

Data analysis often requires custom Python code for specific datasets and visualization needs. This skill uses AI to generate tailored pandas and matplotlib code that processes your data and creates professional charts in sandbox environments.

Database queries require switching between code editors and terminal windows. This skill lets you execute SQL queries and psql meta-commands directly from your AI assistant without leaving your workflow.

This skill provides safe BigQuery CLI patterns for exploring tables and schemas without accessing sensitive data. It includes INFORMATION_SCHEMA queries, row count checks, and data sensitivity guidelines for responsible data analysis.

Getting web content into your coding workflow is tedious and unreliable. This skill gives Claude instant access to any webpage as clean markdown, screenshots, structured data, or search results.

Load data from S3 safely by staging to a temporary branch first. Verify quality before merging to production. Prevents bad data from reaching your main tables.

Creating data pipelines from scratch requires understanding DAG architecture, materialization strategies, and project structure. This skill guides you through setting up bauplan projects with proper branch safety, SQL first-node patterns, and Python transformation models.

MEV trading requires precise liquidity analysis to avoid excessive slippage and failed transactions. This skill provides systematic workflows and formulas for calculating price impact, estimating slippage, and validating trade profitability before execution.

MEV infrastructure requires precise latency monitoring to maintain competitive edge. This skill provides per-call and aggregated latency tracking to identify bottlenecks, debug slow operations, and set alerting thresholds for performance anomalies.

Adding tokens, protocols, chains, or networks to a DeFi registry requires updates across multiple files. This skill provides checklists, templates, and validation commands to ensure consistent registry updates across frontend, backend, Rust core, and shared schema files.

DeFi trading bots fail in production due to hidden risks that backtests miss. This skill embeds battle-tested patterns from real failures so you can avoid catastrophic losses when building arbitrage, MEV, or automated trading strategies.

Extracting text from PDF documents and images requires multiple steps and tools. This skill uses Claude vision to accurately convert scanned documents and images into clean markdown format with proper structure preserved.

Users need to work with spreadsheet data for financial modeling, reporting, and analysis. This skill provides tools to create, modify, and analyze Excel files with full formula support, formatting options, and data visualization capabilities.

Need to extract data from PDFs, fill forms, or create documents. This skill provides comprehensive PDF manipulation tools for extracting text and tables, merging documents, and programmatically filling forms.

Writing database code from scratch leads to connection leaks, slow queries, and migration headaches. This skill provides battle-tested patterns for async database operations, connection pooling, migrations, and performance optimization that work across PostgreSQL, MySQL, and SQLite.

Creating SQLModel database models requires understanding Pydantic integration, async sessions, and relationship configuration. This skill provides expert patterns for building type-safe database operations with proper validation.

This skill provides expert guidance for configuring database connections in Python and FastAPI applications. It covers Neon PostgreSQL setup, connection pooling, SSL configuration, and SQLAlchemy engine creation with best practices for production deployments.

Data validation is error-prone when done manually. This skill provides expert patterns for Pydantic and Zod schemas so you can build type-safe validation pipelines that catch errors early and prevent bad data from entering your system.

Building AI-powered applications requires grounded context from documents. This skill provides ready-to-use code for integrating Context7 knowledge store with document ingestion, semantic search, and role-based access control for ERP systems.