This skill guides users through statistical hypothesis testing (t-tests, ANOVA, chi-square, regression) with proper assumption checking, effect size calculation, and APA-formatted reporting. It includes Python utilities for diagnostic visualizations and comprehensive reference documentation covering Bayesian methods, power analysis, and test selection.

This skill helps write scientific manuscripts following IMRAD structure with proper citations (APA/AMA/Vancouver), figures, tables, and reporting guidelines (CONSORT/STROBE/PRISMA). It includes extensive documentation for professional scientific writing and LaTeX templates for report formatting.

A comprehensive scientific critical thinking skill that helps evaluate research methodology, identify biases, assess statistical validity, and grade evidence quality. It provides frameworks like GRADE and Cochrane Risk of Bias for systematic evaluation of scientific claims and includes extensive reference materials on experimental design, logical fallacies, and common statistical pitfalls.

A research ideation partner skill that helps scientists generate novel hypotheses, explore interdisciplinary connections, and develop new methodological approaches through structured brainstorming techniques like SCAMPER, Six Thinking Hats, and biomimicry.

A comprehensive peer review skill for evaluating scientific manuscripts, grant proposals, and presentations. It provides systematic workflows for assessing methodology, statistics, reproducibility, ethics, and compliance with reporting standards like CONSORT, STROBE, and PRISMA.

This skill provides comprehensive documentation and guidance for using datamol, a Python library that simplifies molecular cheminformatics tasks. It covers SMILES parsing, molecular descriptors, fingerprints, clustering, 3D conformer generation, visualization, and chemical reactions with sensible defaults built on top of RDKit.

A comprehensive literature review tool that searches multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar), synthesizes findings thematically, verifies all citations through CrossRef API, and generates professional markdown and PDF outputs with proper academic formatting and citation styles.

A scientific methodology skill that helps formulate testable hypotheses from observations. It conducts literature searches via PubMed and web sources, generates competing hypotheses with evidence, designs experimental tests, and produces professional LaTeX reports with colored boxes and comprehensive appendices.

Provides comprehensive API access to the ZINC database, a UCSF-maintained repository of 230M+ purchasable chemical compounds. Supports searching by ZINC ID or SMILES notation, similarity searches, random sampling, and downloading 3D structures for molecular docking studies in drug discovery workflows.

This skill enables access to USPTO patent and trademark data through official APIs. It includes Python clients for patent search, examination history (PEDS), trademark status (TSDR), and assignment tracking, supporting IP analysis and prior art research.

This skill enables direct access to UniProt, the world's leading protein sequence database. It allows searching for proteins by name, gene, or organism, retrieving sequences in FASTA format, and mapping identifiers between UniProt and other biological databases like PDB, Ensembl, and RefSeq.

This skill enables querying the STRING database for protein-protein interaction networks, functional enrichment analysis (GO, KEGG, Pfam), and homology comparisons. It covers 59 million proteins across 5000+ species and supports workflows like network visualization, pathway analysis, and hub protein discovery.

This skill enables querying the Reactome database for biological pathway analysis. It supports pathway enrichment analysis on gene/protein lists, expression data analysis, gene-to-pathway mapping, and visualization of results in the Reactome Pathway Browser for systems biology research.

A comprehensive reference skill for searching the PubMed biomedical literature database. Provides guidance on constructing advanced search queries using Boolean operators, MeSH terms, and field tags, plus documentation for programmatic access via the NCBI E-utilities API.

This skill enables querying the PubChem database, the world's largest freely available chemical database with 110M+ compounds. It supports searching compounds by name, structure (SMILES/InChI), or formula, retrieving molecular properties, performing similarity and substructure searches, and accessing bioactivity data from screening assays.

This skill enables access to the RCSB Protein Data Bank, the worldwide repository for 3D structural data of biological macromolecules. It supports searching for protein and nucleic acid structures by text, sequence, or structural similarity, downloading coordinate files in various formats, and retrieving metadata for structural biology and drug discovery workflows.

This skill enables querying the Open Targets Platform for drug target discovery, allowing users to search for gene targets, disease associations, known drugs, and evidence data. It provides Python helper functions to access tractability assessments, safety liabilities, clinical precedence, and genetic evidence for therapeutic target prioritization.

This skill provides comprehensive documentation for accessing the NIH Metabolomics Workbench REST API, enabling queries for metabolite structures, study metadata, RefMet nomenclature standardization, mass spectrometry m/z searches, and gene/protein associations across 4,200+ metabolomics studies.

This skill enables querying the KEGG (Kyoto Encyclopedia of Genes and Genomes) bioinformatics database through REST API calls. It supports pathway analysis, gene-pathway mapping, metabolic pathway exploration, drug interaction checking, and ID conversion between KEGG and external databases like UniProt and PubChem.

This skill provides comprehensive guidance for accessing the Human Metabolome Database (HMDB), a freely available resource containing detailed information about 220,000+ human metabolites. It covers web-based searches, spectral matching, data downloads, and common research workflows for metabolomics, biomarker discovery, and metabolite identification.

This skill provides guidance for querying the NHGRI-EBI GWAS Catalog, a comprehensive database of genome-wide association studies. It includes documentation on searching for SNP-trait associations, retrieving study metadata, accessing summary statistics, and integrating with Python for genetic epidemiology research and polygenic risk score development.

This skill enables access to the NCBI Gene Expression Omnibus (GEO), a public repository containing over 264,000 gene expression studies. It provides tools to search for datasets, download microarray and RNA-seq data, parse SOFT/matrix files, and perform expression analysis including differential expression and meta-analysis across studies.

This skill enables querying the NCBI Gene database for gene annotation and functional analysis. It provides Python scripts to search genes by symbol or ID, retrieve detailed gene metadata including RefSeqs, GO annotations, chromosomal locations, and phenotypes, and perform efficient batch lookups with built-in rate limiting.

This skill enables querying FDA regulatory databases through the openFDA public API. It provides access to drug adverse events, device safety data, food recalls, veterinary reports, and substance information for regulatory research and safety analysis.

This skill enables querying the Ensembl genome database, a comprehensive resource for vertebrate genomic data maintained by EMBL-EBI. It supports gene information retrieval, DNA/protein sequence fetching, variant effect prediction using VEP, ortholog discovery, and coordinate mapping between genome assemblies for over 250 species.

This skill provides comprehensive guidance for accessing the European Nucleotide Archive (ENA), a public repository for nucleotide sequence data. It documents REST APIs for searching samples, studies, and assemblies, retrieving FASTQ files and genome sequences, querying taxonomic information, and bulk downloading datasets via FTP or Aspera for genomics research pipelines.

This skill provides programmatic access to COSMIC (Catalogue of Somatic Mutations in Cancer), the world's largest cancer mutation database. It allows downloading mutation data, Cancer Gene Census lists, mutational signatures, gene fusions, and drug resistance information for cancer research and bioinformatics workflows.

A comprehensive guide for accessing NCBI's ClinVar database to query clinical significance of human genetic variants. Provides documentation on searching variants by gene/position, interpreting pathogenicity classifications (ACMG/AMP guidelines), downloading bulk data via FTP, and annotating VCF files with clinical significance.

This skill provides access to the ClinPGx pharmacogenomics database, which contains clinical pharmacogenetics information including gene-drug interactions, CPIC guidelines, allele functions, and drug labels. It enables querying for precision medicine applications such as genotype-guided dosing decisions and identifying genetic risk factors for drug toxicity.

This skill enables querying the ClinicalTrials.gov database to search for clinical trials by condition, drug, location, status, or phase. It provides functions to retrieve detailed trial information, extract eligibility criteria, and export data for clinical research and patient matching workflows.