Skill UI

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

Conversational research ideation assistant that helps scientists generate novel hypotheses, explore interdisciplinary analogies, challenge assumptions, and outline experiment pathways during early-stage planning.

SciPy provides open-source algorithms and utilities for scientific computing, including integration, optimization, statistics, and signal processing, enabling researchers and engineers to build reliable numerical applications.

A comprehensive Python library for professional astronomy and astrophysics data analysis. It provides essential tools for handling celestial coordinates, physical units, FITS file I/O, time systems, and cosmological calculations, making it vital for scientific research in space science.

A powerful tool designed for systematic literature reviews and meta-analyses. It searches scientific papers and retrieves highly structured experimental data directly from the full text, going beyond mere abstracts. It extracts over 25 fields, including detailed methods, quantitative results, sample sizes, quality scores, and conclusions, enabling comprehensive evidence synthesis for academic research.

A comprehensive framework for transforming raw observations into rigorous, evidence-bounded, and testable research plans. It guides users through establishing research questions (PICO/PECO), formulating candidate hypotheses and rival explanations, defining causal estimands, and creating preregistration-ready analysis plans, all while maintaining strict ethical and scientific guardrails.

LaminDB is an open-source, lineage-native lakehouse designed for managing complex biological datasets and computational workflows. It makes diverse scientific data (like scRNA-seq, AnnData) queryable, traceable, and compliant with FAIR principles. Core capabilities include robust data lineage tracking, schema validation, ontology-backed annotation (Bionty), and unified querying across multiple cloud/local storage systems. It is essential for bioinformatics research and building reproducible data infrastructure.

NetworkX is a powerful Python library used for generating, manipulating, and analyzing complex networks and graphs. It provides comprehensive tools for running essential graph algorithms (e.g., shortest paths, centrality, community detection), modeling diverse structures (social, biological, transportation), and handling various data formats (GraphML, JSON, Pandas). Ideal for system modeling and scientific research.

Compiles comprehensive, verifiable external evidence for writing high-quality scientific manuscripts or research briefs. It conducts deep, multi-source academic searches, targeting verified references and structuring the findings into a manuscript-ready research packet. Ideal for in-depth literature reviews, hypothesis testing, and building structured evidence matrices.

A highly structured framework designed for generating, organizing, and transparently prioritizing scientific research concepts. It enforces independent idea generation, explicit assumption labeling, structured discussion, and evidence-aware evaluation, ensuring the creation of robust, proposal-level research directions for early-stage exploration.

A comprehensive toolkit for advanced web intelligence workflows. It facilitates deep research, structured data enrichment, URL extraction, entity discovery, and continuous web monitoring. Ideal for scientific topics, academic source discovery, and generating exhaustive, evidence-based reports.

A comprehensive server providing research-grade access to arXiv. Users can search papers by topic, author, or date, download full texts, and analyze the scientific landscape by traversing citation graphs. It also supports local semantic search over downloaded documents and enables monitoring for new papers with real-time alerts. Ideal for academic research and literature review.