3. Data, Science & AI

Converts physics and mathematical physics textbook PDFs into research-level tutorials with complete proofs, detailed derivations, and LaTeX output.

Provides Firestore database management, query optimization, indexing strategies, and best practices for efficient data handling.

Queries ADME user entitlements, roles, and GUID resolutions via OSDU API for access management and troubleshooting in Azure Data Manager for Energy.

Generates structured reports and dashboards with dynamic layouts, supporting charts, diagrams, markdown, and code blocks via API.

Provides a guide for querying and inspecting Monzo's BigQuery tables using bq CLI, with emphasis on data sensitivity and INFORMATION_SCHEMA usage.

Provides BigQuery table design, query optimization, and Node.js integration for data analytics workloads.

Provides Shopify Bulk Operations API patterns for efficient large-scale data synchronization, including mass updates and JSONL staging.

Designs relational database schemas, creates tables, and manages migrations for backend and full-stack applications.

Enables local Retrieval-Augmented Generation (RAG) implementation using Ollama for LLM and FAISS for vector search, enhancing AI knowledge retrieval capabilities.

Quickly loads vector basemap layers in QGIS for spatial data visualization and analysis.

Builds AI email agents using AgentMail API for automation, notifications, and AI workflow integration.

Enables seamless integration of AI features and Model Context Protocol (MCP) within RawDrive's ai-service for building AI tools and implementing AI capabilities.

Provides a guide for creating and updating AI agent skills during Spec Kit planning, enabling specialized capabilities for Copilot.

Creates persistent patterns from user corrections to prevent recurring mistakes and inject context in future AI interactions.

Aggregates insights across multiple tasks to enable data-driven system evolution and continuous improvement.

Processes CSV open data files to display the top 5 items sorted by cost for quick data inspection.

AI-driven integrated trading environment providing real-time market analysis, predictive insights, and strategy execution for financial trading.

Provides best practices for designing token-efficient, context-aware tools for AI agents, emphasizing clear API naming and structure.

Creates specialized AI subagents for Claude Code, handling file structure, configuration, tool selection, and prompt engineering.

Constitutional RAG pipeline for Swedish language processing with Llama model and ChromaDB vector database.

Performs data analysis, cleaning, EDA, and visualization using pandas on user-provided data files or commands.

Fetches current weather conditions, temperature, and forecasts for locations using IP-based or explicit queries.

Provides expert guidance on NVIDIA DGX Spark workstation hardware, software, AI workflows, fine-tuning, inference, and troubleshooting for AI development tasks.

Automates data extraction from websites by discovering and calling frontend APIs, outputting structured JSON or CSV for analysis.