3. Data, Science & AI

Systematically creates and optimizes production-ready prompts for Claude, including templates and system prompts for AI agents.

Fetches current and forecasted weather data for any city using the Open-Meteo API, providing real-time weather information.

Manages data pipelines via FlowerPower framework, supporting Hamilton DAGs and uv for project setup, configuration, and execution.

Guides creation of OpenCode agents and subagents, including multi-agent workflow design, context optimization, and tool permissions.

Retrieves and merges Greek/Hebrew word data from Macula and Strong's dictionary for Bible verse analysis, supporting Strong's number and English word searches.

Creates interactive tools for generating AI-readable Bible commentary data, guiding users through task definition, file structure setup, and self-learning data loops.

Creates specialized AI subagents for task-specific workflows within Claude Code, enabling automated task execution and project management.

Provides detailed guidance on building and implementing Retrieval Augmented Generation (RAG) pipelines, including data ingestion and vector search components.

Enables database schema design, query optimization, migration, and administration for MongoDB and PostgreSQL databases.

Processes and generates multimedia content (audio, image, video, documents) using Google Gemini API for analysis, summarization, and creation tasks.

Manages MCP servers to discover, execute, and integrate AI tools and resources programmatically.

Enables comprehensive spreadsheet creation, editing, and analysis with formula support, formatting, and data visualization across multiple spreadsheet formats.

Searches and analyzes technical documentation using LLM-powered retrieval from context7.com sources, supporting API, library, and GitHub documentation needs.

Implements a RAG-based chatbot with integrated UI and backend logic for knowledge-driven conversational AI.

Provides expert domain knowledge in Physical AI, ROS 2, and Humanoid Robotics for technical problem-solving.

Generates factual answers with web citations using AI search and synthesis, providing structured outputs for information extraction.

Extracts and summarizes web content from URLs using AI, enabling structured data retrieval and article summarization for research and analysis.

Extracts and structures web data through searches, CSV imports, and enrichment, enabling efficient data management and analysis.

Enables comprehensive data operations in Google Sheets including cell management, formulas, formatting, and batch analysis workflows.

Generates optimized prompts for the SuperClaude AI framework using wave orchestration, parallel execution, and PM Agent systems.

Enables AI-powered analysis and generation of multimedia content (audio, images, video, documents) via Google Gemini API for multimodal processing tasks.

Optimizes AI model outputs by analyzing underspecified prompts, inferring missing context, and executing enhanced versions for superior results.

Builds autonomous AI agents using Anthropic's Claude Agent SDK with tool calling, computer interaction, and production best practices.

Enables framework-agnostic design of portable AI agents using Oracle's Open Agent Specification with JSON/YAML definitions.