3. Data, Science & AI

Expert guidance on ClickHouse query optimization, data engineering best practices, and high-performance analytics workloads.

Adds a new rule to the file storing AI-learned rules for system configuration or decision-making.

Explores PostgreSQL and DuckDB schemas, tables, and sample data for data investigation and structure analysis.

Generates SQL practice problems using Gemini AI, triggered by specific user prompts for educational purposes.

Automates Siril job file creation by scanning data folders, reading FITS headers for temperature, and matching calibration files.

Provides historical data simulation for OctoBot, enabling data collection, exchange simulation, and strategy validation for trading strategies.

Framework for evaluating trading strategies and generating signals using technical indicators and matrix-based analysis in OctoBot.

Provides standardized guidelines for Firestore schema design, migration workflows, and data integrity validation to ensure reliable database structures.

Integrates Agents Playbook MCP into external AI frameworks and designs advanced workflows using 2026 models.

Provides SNP genotype lookup and interpretation from 23andMe data using SNPedia, covering pharmacogenomics and health risk conditions.

Validates genetic variant interpretations against SNPedia and clinical databases for SNP analysis, allele orientation, and risk assessment verification.

Extracts and refines race data from markdown tables and manual research for seamless integration into the RacePortfolio application.

Extracts, deduplicates, and prioritizes research sources from markdown files, integrating them into structured JSON data files for research management.

Automates extraction and verification of race event dates from official websites to maintain data accuracy and freshness.

Monitors Beaker experiments until completion, providing real-time status updates for machine learning experiment tracking.

Accesses 300+ AI models via OpenRouter API for text, image, and model discovery tasks.

Expert in designing, optimizing, and managing relational (PostgreSQL) and NoSQL (MongoDB) databases, including schema design, query optimization, and ORM integration.

Enables interaction with OpenAI Codex CLI for code generation, review, and task execution, providing AI-assisted development support.

Backend system for managing AI skills, model deployment, and workflow responsibilities in AI applications.

Produces LLM-as-judge evaluation reports for agrag agent performance, assessing retrieval quality, grounding, graph paths, and tool usage in headless mode.

Guides implementation of LangGraph 1.0+ pipelines with intent-routed workflows, subagents, checkpointing, and conditional routing for AI agent systems.

Guide for implementing a RAG (Retrieval-Augmented Generation) pipeline with contextual retrieval, evidence tracking, and phase 1-4 evaluation reference.

Enables dynamic note database management in Obsidian using properties, filters, formulas, and multi-view layouts for structured data organization.

Comprehensive guide to building durable LLM workflows with Output.ai Framework and Temporal orchestration, covering project structure and integrations.