3. Data, Science & AI

Enables read-only access to Google Sheets data, including cell ranges, metadata, and spreadsheet search via OAuth authentication.

Executes safe, read-only SQL queries across multiple PostgreSQL databases for data analysis and schema exploration without write permissions.

Modern Rust-based CLI for Google BigQuery operations including SQL queries, data ingestion, and cost-aware management with enhanced performance.

Enables semantic and multi-modal search via LanceDB CLI, supporting document ingestion, vector embeddings, and MCP server integration for knowledge retrieval.

Command-line tool for efficient JSON data processing, including filtering, formatting, transformation, and analysis operations.

High-performance tool for CSV data processing including filtering, joining, and statistics.

Command-line interface for interactive AI sessions with Claude, enabling scripting, MCP server management, and plugin configuration.

Enables Excel data manipulation with SQL-like filtering, cell editing, and CSV conversion for data analysis tasks.

Intelligent CLI tool automatically selects from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation tasks.

Provides persistent memory for AI skills, storing corrections, preferences, and patterns across sessions to enable continual learning and improvement.

Provides best practices for managing database schemas using Atlas, including versioned migrations, schema definitions, and testing for HCL and SQL.

Quick reference guide for Ordo expression syntax, covering operators, functions, and data transformation rules for efficient condition evaluation and data processing.

Creates, manages, and interacts with Pinecone Assistants for document Q&A using natural language requests without slash commands.

Extracts hidden text from GCODE files by analyzing toolpath geometry and coordinate data, useful for recovering engraved text in 3D printing or CTF challenges.

Guides Bayesian MCMC sampling with RStan for hierarchical models, covering model specification, diagnostics, and posterior analysis.

Guides video analysis and processing using computer vision (e.g., OpenCV) for motion detection, object tracking, and frame extraction.

Guides merging heterogeneous data sources (JSON, CSV, Parquet, XML) into unified datasets with field mapping, conflict resolution, and ETL-ready outputs.

Guides training of FastText text classification models with optimized hyperparameters for model size and accuracy trade-offs.

Optimizes LLM inference request batching to minimize cost while meeting latency thresholds, addressing shape compilation and multi-bucket distributions.

Merges heterogeneous data sources (CSV, JSON, Parquet, XML) into unified formats with schema mapping and conflict resolution.

Guides fusion protein sequence design by integrating PDB, plasmid, and fluorescent protein data with codon optimization and linker selection.

Recovers data from corrupted or truncated SQLite databases by parsing binary formats when standard tools fail.

Automates extraction, classification, and validation of data from financial documents (invoices, receipts) using OCR and batch processing.

Optimizes computation of the largest eigenvalue for small dense matrices using numerical linear algebra techniques, enhancing performance in numpy/scipy operations.