3. Data, Science & AI

Coordinates specialized AI agents through task delegation, role management, and workflow orchestration to enhance collaborative AI system performance.

Intelligently ingests Excel and Word documents into MXCP, analyzing content to route to DuckDB or RAG systems and converting tables to narrative text.

Generates and edits images using Gemini 3 Pro Image model, supporting text-to-image, image-to-image, and 1K/2K/4K resolutions.

Designs domain-specific unit modules for the dimtensor library, supporting astronomy, chemistry, and engineering applications.

Retrieves Solana account balance and program status using a provided address.

Retrieves detailed Solana transaction information using a transaction signature and optional chain parameter.

Retrieves detailed transaction information from EVM-compatible blockchains using a transaction hash and optional chain specification.

Retrieves detailed block information from EVM-compatible blockchains, including transaction data and metadata, for specified block numbers or chains.

Provides real-time Solana transaction fee data for mainnet and devnet, including priority fees and lamports per signature.

Provides model-agnostic best practices for crafting, optimizing, and engineering effective prompts to enhance LLM interaction quality and reliability.

Builds LLM applications with LangChain, supporting multiple LLM providers, agent loops, and structured outputs for chatbots and AI agents.

Provides real-time EVM blockchain address information including balance and account type (contract or EOA) for Ethereum, Polygon, Arbitrum, and other EVM chains.

Provides customizable tmux templates for autonomous AI agent teams in software development and research workflows.

Provides current gas price information for EVM-compatible blockchains like Ethereum, Polygon, and Arbitrum upon request.

Comprehensive tool for creating, editing, and analyzing spreadsheets with formulas, formatting, and data visualization across common spreadsheet formats.

Enables hierarchical task decomposition with dual memory systems and control flow for coordinating AI agents in tree-structured workflows.

Provides CLI utilities for persisting structured data with schema definition and namespace organization for issues, metrics, and logs.

Designs analytics infrastructure using ScalarDB Analytics, enabling Apache Spark-based queries and cross-database analysis for scalable data processing.

Graph database exploration agent for RyuGraph, enabling natural language or Cypher queries to retrieve related code and specifications.

Designs microservice data architecture with ScalarDB, including schema planning and distributed transaction strategies.

Intelligently prunes conversation context to reduce token usage while maintaining coherence for AI language model interactions.

Optimizes database performance through query tuning, indexing, partitioning, and scaling strategies for improved efficiency and scalability.

Provides insights on AI hardware accelerators (GPUs, TPUs) and optimization strategies for machine learning workloads.

Enables efficient AI model deployment on edge devices with mobile and embedded system optimizations using TFLite and Core ML.