3. Data, Science & AI

Extracts text from PDF documents and automates form filling for efficient document processing and data entry tasks.

Enables semantic search over skill libraries using ColBERT embeddings, allowing natural language queries to find relevant skills.

Command-line tool for reading, writing, and updating Google Sheets data directly from terminal, enabling efficient spreadsheet data manipulation.

Provides technical support for OpenLink Virtuoso Server, including RDF Views generation, SPARQL/SQL/GraphQL queries, and metadata management.

Enables forensic data analysis for anomaly detection, fraud detection, and breach investigation to identify security threats and fraudulent activities.

Designs and builds knowledge graphs for complex relationship modeling, semantic search, and knowledge bases using schema and graph databases.

Automates capability manifest generation from skill descriptions using AI-driven semantic analysis and structured extraction for RAG implementation.

Plans multi-step workflows using AI-powered goal decomposition and hierarchical task network (HTN) planning with capability graphs.

Enables fast cloud-based patent search across 76M+ patents using BigQuery for keyword and CPC classification queries.

Searches 76M+ patents via BigQuery or PatentsView API, providing fast access to US patent metadata with rich details.

Provides statistical analysis strategies and data exploration techniques for deriving insights from datasets.

Specialized analysis strategies for metabolomics data processing and interpretation in biological research contexts.

Analyzes protein structures via AlphaFold, performs validation, and conducts structural comparisons for biological research.

Provides computational strategies for genomic and transcriptomic data analysis, enabling biological insights and research applications.

Enables training of reinforcement learning agents (PPO, SAC, DQN, etc.) using stable-baselines3 for deep RL workflows.

Automates importing external articles into Fumadocs with AI classification, multi-language translation, image processing, and MDX conversion.

Guides integration of Model Context Protocol (MCP) servers with Claude Code via HTTP, stdio, and SSE transports, covering configuration, authentication, and security.

Provides tools for reinforcement learning tasks including PPO training, environment development, and multi-agent systems with Gymnasium and PettingZoo integration.

Calculates key financial ratios and metrics from financial statement data to support investment analysis and decision-making.

Handles annotated data matrices for single-cell genomics, supporting h5ad files and integration with scanpy for RNA-seq analysis.

Generates images from tabular data to enhance readability in messaging apps like Telegram for structured information display.

Extracts and converts web content into LLM-ready structured data, handling dynamic JavaScript and bypassing bot protections for seamless data acquisition.

Automates scientific research workflows from data analysis to publication-ready LaTeX papers using a multiagent AI system.

Enables machine learning analysis of genomic interval data, including BED files and scATAC-seq, for region embeddings and chromatin accessibility feature learning.