3. Data, Science & AI

Extracts and converts NetCDF/CDL metadata (variables, dimensions, attributes) to CSV for scientific documentation and analysis.

Downloads ERA5 climate reanalysis data from Copernicus Climate Data Store via cdsapi for climate modeling, ecosystem analysis, and scientific research.

Extracts, inspects, and compares XML structures within .docx files for document analysis and issue resolution.

Synthesizes multiple time-period behavior summaries into a unified user profile for personalized emotional companionship and behavior analysis.

Analyzes social media posts to identify user behavior patterns and preferences for personalized emotional companionship.

Aggregates structured data from multiple external APIs including Census, NASA, and PubMed for analysis and integration.

Comprehensive toolkit for building interactive, mathematically elegant data visualizations with D3.js and Chart.js, including data pipelines and narrative-driven stories.

Creates aesthetically driven data visualizations through mathematical elegance, color theory, and narrative design for impactful data storytelling.

Command-line interface for querying data and managing Snowflake databases, warehouses, schemas, and tables.

Automates user memory management across conversations, retrieving context and saving personal details for personalized interactions.

Automates cleanup of Tableau workbooks by standardizing captions, adding comments, and organizing files into structured folders.

Summarizes system logs via AI subagent, delivering clean summaries without raw log exposure to the primary agent.

Provides implementation and understanding of Takum arithmetic, a logarithmic tapered-precision number format for scientific computing, with operations and comparisons to IEEE 754 and posits.

Provides coordination patterns for multi-agent systems to prevent conflicts and ensure efficient workflow execution.

Core skill for BigQuery ETL repository, managing project structure, conventions, and data processing patterns for SQL-based transformations.

Guides structured requirements gathering for BigQuery data model development and query modifications, including dependency analysis for downstream systems.

Extracts keyframes from video files, analyzes content, removes duplicates, and optimizes image quality for efficient token usage.

Generates and updates Bigeye monitoring configurations (bigconfig.yml) for BigQuery tables, enabling data observability and monitoring.

Guides the use of ElevenLabs TTS model for generating sultry, seductive, ominous, and emotionally expressive voice outputs in creative audio applications.

Advises on optimizing code for NVIDIA GPU architectures (Ampere, Hopper, Ada) to enhance performance in compute-intensive AI and scientific applications.

Expert guidance for multi-model AI orchestration using Pal MCP Server (zen-pal-nas), covering tool workflows, configuration, and model selection strategies.

Extracts data from inaccessible websites using Scrape.do, enabling reliable data collection for analysis and processing.

Analyzes user genetic data from VCF files to provide insights on hereditary traits, disease risks, metabolism, and personalized dietary recommendations.

Generates images using the fal.ai nano-banana-pro AI model for creative and design applications.