Research

This skill provides guidance for using RDKit, a Python library for cheminformatics. It covers molecule I/O, property calculation, fingerprinting, substructure search, and chemical reactions. Includes code examples for common workflows like drug-likeness analysis and similarity screening, plus performance tips and error handling.

Provides programmatic access to the ClinPGx database for pharmacogenomics data, including gene-drug interactions, CPIC guidelines, and allele functions. It enables querying clinical pharmacogenomics information for precision medicine applications and genotype-guided dosing decisions through a REST API.

Provides a structured framework for startup competitive analysis with decision trees, market mapping, positioning canvases, and battlecard templates. Focuses on actionable insights like weakness mining and win/loss analysis rather than feature grids. Includes modern best practices and clear do/avoid guidelines.

Extracts YouTube video transcripts, generates summaries and Korean translations, then creates comprehension quizzes with 9 questions across 3 difficulty levels. Includes web search for context correction and optional deep research follow-up.

This skill provides access to the Astropy Python library for astronomical data processing. It handles coordinate transformations, FITS file operations, cosmological calculations, unit conversions, and table manipulations. The documentation includes clear examples for common astronomy workflows like cross-matching catalogs and calculating distances.

Provides direct REST API access to UniProt for protein searches, FASTA retrieval, and ID mapping. Includes Python client with search, get, map, and stream functions. Well-documented with query syntax examples and field specifications. Useful for bioinformatics workflows requiring programmatic access to protein data.

This skill wraps the Biopython library for computational biology tasks. It handles sequence manipulation, file format conversion, NCBI database queries, BLAST analysis, and phylogenetic calculations. The documentation provides clear examples for common workflows like ORF finding and codon usage analysis.

This skill automates systematic literature reviews by searching multiple academic databases, verifying citations, and generating formatted documents. It provides structured workflows, database-specific search strategies, and integrates with other tools for schematic generation. The documentation includes detailed search techniques and quality control checklists.

Validates citations in research reports by checking presence, completeness, accuracy, and source quality. Provides structured reports with quality ratings and identifies unsupported claims. Useful for academic papers, technical reports, and content requiring factual verification.

This skill guides users through selecting appropriate statistical tests, checking assumptions, running analyses, and generating APA-formatted reports. It includes decision trees, code examples, and detailed reporting templates for common research scenarios like t-tests, ANOVA, regression, and Bayesian methods.

A comprehensive, systematic market analysis framework with clear phases, structured outputs, and quality gates for product/market strategy.

This skill provides Python scripts to query NCBI's Gene database via E-utilities and Datasets APIs. It enables searching by symbol/ID, retrieving gene metadata (RefSeqs, GO terms, locations), batch processing, and linking to related databases like ClinVar and PubMed. It handles rate limits and includes practical examples for common bioinformatics workflows.