
π―Skills173
An integrated content operating system for research and content creation workflows, featuring Twitter content generation, research pipelines with PubMed MCP integration, and RAG-powered knowledge pipelines for medical/scientific queries.
An integrated content operating system for medical content creation and research workflows, featuring PubMed MCP integration, research pipelines, and RAG-based knowledge queries.
Part of an integrated content operating system for research and writing workflows, providing academic chapter writing capabilities with PubMed integration for medical/scientific content.
Part of an integrated content operating system for content creation, research, and writing workflows. Includes PubMed MCP integration for medical research, Twitter content generation pipelines, and a RAG-based knowledge pipeline.
An integrated content operating system for medical content creation, research, and writing workflows, featuring PubMed MCP server integration, a RAG knowledge pipeline, and automated Twitter content generation.
An integrated content operating system for medical content creation and research workflows, featuring PubMed MCP integration, research pipelines, and RAG-based knowledge queries.
An integrated content operating system for research-driven content creation, featuring PubMed MCP server integration, a RAG pipeline for medical/scientific queries, and Twitter content generation from research topics.
An integrated content operating system serving as a single source of truth for content creation, research, and writing workflows, with PubMed MCP integration for medical research.
An integrated content operating system that combines content creation, medical research, and writing workflows. Features PubMed MCP integration for research outputs, Twitter content generation, and a RAG pipeline for knowledge queries.
A skill within an integrated content operating system for medical research workflows, combining PubMed MCP integration, content generation pipelines, and RAG-based knowledge retrieval for clinical research topics.
An integrated content operating system for content creation, medical research, and writing workflows, featuring PubMed MCP server integration and a RAG pipeline for evidence-based content generation.
An integrated content operating system for medical research and content creation workflows, featuring PubMed MCP integration, RAG pipelines, and automated content generation tools.
An integrated content operating system for medical content creation and research workflows, featuring PubMed MCP integration, automated research pipelines, and a RAG-based knowledge pipeline.
Part of an integrated content operating system for medical content creation, research, and writing workflows. Includes pipelines for Twitter content generation, a research engine, and RAG-based knowledge retrieval, with PubMed MCP integration for medical literature access.
An integrated content operating system that serves as a single source of truth for content creation, research, and writing workflows, featuring PubMed MCP integration and automated pipelines for generating research-backed content.
An integrated content operating system for medical content creation, research, and writing workflows, with PubMed MCP server integration for research-backed outputs.
A content operating system for medical research and writing workflows, integrating PubMed MCP for literature retrieval with pipelines for social media content generation and RAG-based knowledge queries.
An integrated content operating system for medical content creation, research, and writing workflows, featuring PubMed MCP integration, Twitter content generation, research pipelines, and RAG-based knowledge retrieval.
An integrated content operating system for medical content creation, combining PubMed research via MCP, Twitter content generation, and RAG pipelines for clinical queries like statin side effects and heart failure treatments.
An integrated content operating system for medical content creation and research workflows, using PubMed MCP server for literature queries and automated pipelines for generating research-based content.
Part of an integrated content operating system for medical content creation, research, and writing workflows, with PubMed MCP integration and automated content pipelines for health topics.
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An integrated content operating system for medical content creation and research workflows, featuring PubMed MCP server integration, Twitter content generation, and a RAG pipeline for medical knowledge queries.
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Enables cheminformatics and molecular modeling tasks by providing RDKit library functionality for chemical structure analysis, manipulation, and computational chemistry operations.
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Retrieves and processes patent and trademark data from the United States Patent and Trademark Office (USPTO) database for research and content generation purposes.
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Visualizes medical research data using statistical graphics and data visualization techniques from the Seaborn Python library.
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Assists researchers in systematically evaluating and critiquing academic research papers by providing structured peer review guidance and analysis.
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Simulates fluid dynamics and computational fluid mechanics scenarios, likely for scientific or engineering research modeling purposes.
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Retrieves and processes gene-related information from scientific databases, enabling structured data extraction and research analysis.
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Extracts and computes molecular features from chemical structures to support computational chemistry and drug discovery research tasks.
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Analyzes single-cell RNA sequencing data using variational inference techniques for probabilistic modeling of cellular transcriptomics.
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Optimizes multi-objective optimization problems using evolutionary algorithms and advanced search strategies from the pymoo library.
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