Skill UI

This skill enables reproducible retrieval of facts from public scientific, regulatory, and financial databases. It catalogs 80 databases with documented API access patterns, allowing users to query authoritative sources with explicit endpoints, filters, and pagination. The skill ensures data provenance, handles rate limits, and verifies counts to guarantee completeness. It is designed for biomedical, genomic, and chemical data retrieval where accuracy matters more than general knowledge inference.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

A comprehensive guide for designing and documenting systematic literature searches for meta-analyses or systematic reviews. It ensures reproducibility by covering multiple databases (e.g., PsycINFO, PubMed), controlled vocabulary, grey literature, and adhering strictly to PRISMA-S guidelines. It helps build a robust, traceable research pool.

gget is a versatile CLI and Python package designed for rapid, reproducible bioinformatics searches across major genomic reference databases (e.g., Ensembl, UniProt). It allows users to quickly query gene metadata, perform initial BLAST/BLAT style alignments, and explore associated pathways, cancer, or disease modules. It is ideal for initial data exploration and generating reproducible evidence logs before building complex, full-scale local pipelines.

A powerful, multi-source skill designed for advanced academic research in law. It accesses major databases covering French, European, and international legal doctrine, including scholarly articles, theses, and works for comparative law studies. Ideal for state-of-the-art reviews and bibliometric analysis.

ClickHouse database patterns for high-performance analytics, including table design, query optimization, bulk inserts, materialized views, and performance monitoring.