3. Data, Science & AI

Coordinates multiple AI agents through thread orchestration for synchronized execution of complex tasks.

Builds hierarchical taxonomies and ontologies with semantic relationships for domain-specific data organization across industries.

Transcribes audio/video to text using OpenAI's Whisper AI model, leveraging markdown context files for technical term accuracy.

Designs optimal knowledge graph schemas and query patterns for GraphRAG systems using PostgreSQL, pgvector, and PGroonga based on natural language project descriptions.

Extracts structured data from medical research PDFs, including study characteristics, demographics, outcomes, and results for systematic reviews.

Describes the database schema for storing and retrieving food journal entries, including table structures and relationships.

Analyzes AI agent mistakes, identifies failure patterns, and proposes system improvements to enhance trading system performance through continuous learning.

Generates realistic fake data conforming to JSON schemas for testing, sample datasets, and API examples. Returns valid JSON.

Performs three-stage analysis (Direct Impact → Secondary Effects → Final Conclusion) on complex news articles with depth-focused reasoning.

Monitors real-time news for breaking developments and assesses market impact and sentiment shifts to generate trading signals.

Analyzes CEO statements from SEC filings and earnings calls for tone shifts, using AI to detect changes and generate news articles based on historical patterns.

Analyzes datasets using Python libraries to generate statistical summaries, identify patterns, and create visualizations from CSV/Excel files.

Provides pre-defined SQL templates for querying v3_metadata database tables including object codes, names, and custom fields via exec_sql tool.

Provides foundational SQL query utilities using the exec_sql tool for database operations.

Provides SQL query templates for v3_e-report database analysis alert configuration tables, executed via exec_sql tool.

Extracts commit patterns, contributor activity, and release history metrics from GitHub repositories for project health assessment.

Analyzes multiple news articles to extract sentiment, keywords, themes, and ticker mentions, generating aggregated market intelligence with trending topics and ticker buzz scores.

Analyzes historical backtest data to evaluate trading strategy performance, identify weaknesses, and provide data-driven improvement recommendations.

Provides Python development tools for scientific computing and SciTeX projects, including ML practices, testing, and environment management.

Provides standardized SQL query templates, execution workflows, and result analysis using exec_sql for efficient database operations.

Executes SQL queries to retrieve tenant and organization data from the v3_user database using the exec_sql tool.

Provides speech feedback to users through MCP audio servers for status updates and interactive questions.

Modern random number generation with statistical properties, parallel streams, and reproducibility using NumPy's Generator API.

PyTorch Geometric library for building Graph Neural Networks with message passing, aggregation, and efficient graph processing capabilities.