AI Skills for Business Intelligence Analyst
Discover 3271+ AI skills for BI analysts
Browse AI Skills for Business Intelligence Analyst
sickn33 / uniprot-database
Provides direct REST API access to UniProt for protein searches, FASTA retrieval, and ID mapping, enhancing bioinformatics workflows.
sickn33 / scanpy
Scanpy is a Python toolkit for analyzing single-cell RNA-seq data, enabling workflows from quality control to visualization.
sickn33 / biopython
Biopython provides Python tools for biological computation, enabling sequence manipulation, database access, and structural bioinformatics.
davila7 / matchms
Facilitates mass spectrometry data processing and analysis, enabling users to import, filter, and compare spectral data efficiently.
anthropics / single-cell-rna-qc
Automates quality control for single-cell RNA-seq data using MAD-based filtering and visualizations, following scverse best practices.
LeoYeAI / adme-property-predictor
Predicts ADME properties for drug candidates using cheminformatics models to guide drug discovery and optimization.
LeoYeAI / biomedical-paper
Generates AI-powered biomedical manuscripts in English from Chinese drafts, including structured sections and references.
brycewang-stanford / med-researcher-guide
Facilitates biomedical literature review by orchestrating agents for evidence synthesis and clinical question analysis.
brycewang-stanford / statistics-skills
Provides comprehensive guides for statistical analysis, including Bayesian methods, hypothesis testing, and data anomaly detection.
brycewang-stanford / meta-analysis-guide
Facilitates systematic meta-analyses by computing effect sizes, assessing heterogeneity, and generating forest plots.
brycewang-stanford / biothings-api
Enables querying of gene, variant, and drug annotations through BioThings APIs for biomedical research and analysis.
brycewang-stanford / clawbio-guide
Provides a library of bioinformatics skills for genomics pipelines, enabling complex analyses through natural language interactions.
brycewang-stanford / enrichr-api
Facilitates gene set enrichment analysis using the Enrichr API, enabling researchers to identify significant biological pathways.
brycewang-stanford / epidemiology-guide
Provides guidance on designing and analyzing epidemiological studies, including study designs and measures of disease frequency.
brycewang-stanford / genomas-guide
Automates gene expression analysis using the GenoMAS multi-agent system, transforming natural language queries into bioinformatics workflows.
brycewang-stanford / genomics-analysis-guide
Provides workflows for RNA-seq, GWAS, and variant calling, enabling reproducible genomic data analysis in research.
brycewang-stanford / genotex-benchmark-guide
Evaluates LLM agents on gene expression data analysis using curated GEO datasets for benchmarking bioinformatics tasks.
brycewang-stanford / medical-data-api
Accesses FDA drug data and WHO health statistics for research, providing vital information for pharmacovigilance and global health analysis.
brycewang-stanford / ncbi-datasets-api
Access genomic, gene, and taxonomy data through the NCBI Datasets v2 API for research and analysis.
brycewang-stanford / quickgo-api
Enables browsing and searching of Gene Ontology annotations through the QuickGO API for functional genomics research.