3. Data, Science & AI

Provides data analysis capabilities using pandas, numpy, and statistical tools for data visualization and insights.

Compares two SQL query results for structural and data equivalence using MINUS/EXCEPT operations to validate output consistency.

Command-line tool for creating, altering, and dropping database views via SQL.

Lists database tables and displays column details (types, constraints) across 30+ database systems using DbCli.

Executes SQL data modification operations (INSERT/UPDATE/DELETE) across 30+ databases with mandatory pre-operation backups.

Executes SELECT queries on 30+ databases (SQLite, MySQL, PostgreSQL, etc.) and returns results in JSON, table, or CSV format for data analysis.

Exports database schema objects (procedures, functions, triggers, views, indexes) as SQL scripts for backup and version control.

Provides an interactive SQL REPL environment for exploring, prototyping, and administering databases across 30+ systems with safety prompts for critical operations.

Executes DDL statements (CREATE, ALTER, DROP) for database schema management across multiple databases with mandatory backup for destructive operations.

Manages database stored procedures, functions, and triggers via SQL CREATE, ALTER, and DROP operations.

Exports database table data as SQL INSERT statements for backups, migrations, and portable data dumps across multiple database systems.

Executes SQL-based index management operations (CREATE/DROP) to optimize database performance and query efficiency.

Provides access to comprehensive Chinese financial market data including stocks, bonds, and macroeconomic indicators via Tushare Pro APIs.

Provides persistent memory for AI agents on Cloudflare's edge network, enabling context retention and long-term knowledge storage across sessions.

Compares LLM models using the Artificial Analysis API for performance, pricing, and suitability across coding, math, and cost scenarios.

Plans and evaluates mesh generation for numerical simulations, including grid resolution selection and quality assessment for PDE discretization.

Configures time integration methods for ODE/PDE simulations, including scheme selection, error tolerance settings, and step adaptation for accuracy and stability.

Analyzes and enforces numerical stability in time-dependent PDE simulations, including time step selection and CFL/Fourier criteria checks for advection, diffusion, and reaction problems.

Manages time-step policies in simulations, including adaptive stepping, CFL constraints, and checkpoint scheduling for stable long-running computations.

Applies numerical differentiation schemes (finite difference, volume, spectral) for discretizing PDEs and ODEs, including stencil building and error estimation.

Selects and configures linear solvers for dense and sparse systems, including method selection, convergence diagnosis, and preconditioner tuning for scientific simulations.

Generates continuous-running autonomous AI agents by collecting user requirements and structuring them per Anthropic best practices.

Guides MCP server implementation and AI/ML integration, including LLM best practices and tool design for AI systems.

Manages protocol naming conventions based on K-line data structures, standard in financial market data representation.