Research

Provides access to USPTO patent and trademark APIs for searching patents by keywords/inventors, retrieving examination history, tracking assignments, analyzing citations, and accessing trademark data. Includes Python scripts for common operations and covers 12 different USPTO APIs with rate limit guidance.

This skill provides a comprehensive interface to Qiskit, enabling quantum circuit design, algorithm implementation, and hardware execution. It covers core workflows from circuit building to transpilation and includes specialized libraries for chemistry, optimization, and machine learning. The documentation offers practical examples for common quantum computing tasks.

This skill provides Python functions to query the STRING database for protein-protein interactions across 5000+ species. It handles identifier mapping, network retrieval with confidence thresholds, functional enrichment analysis, and generates network visualizations. The documentation includes practical examples for common bioinformatics workflows.

This skill wraps the QuTiP library for simulating quantum systems, focusing on open quantum systems with master equations and Lindblad dynamics. It provides specific examples for quantum optics, cavity QED, and decoherence studies, with clear boundaries on when to use it versus circuit-based quantum computing libraries.

This skill provides direct access to AlphaFold's database of 200+ million predicted protein structures. It enables retrieval by UniProt ID, downloads PDB/mmCIF files, and analyzes confidence metrics like pLDDT and PAE for structural biology and drug discovery workflows.

This skill provides Python-based access to the FDA's openFDA API, enabling queries for drug adverse events, medical device clearances, food recalls, and substance identification. It includes specific methods for different FDA data categories and demonstrates practical use cases for regulatory analysis and safety research.

Automates academic research using a 7-phase methodology with parallel agents for web, academic, and verification tasks. Enforces strict citation formats and produces structured reports with source validation. Useful for systematic literature reviews and evidence-based analysis.

This skill enforces systematic research with mandatory verification from 3+ independent sources. It rejects vague requests, documents evidence trails with URLs and access dates, and outputs structured markdown files. The methodology includes confidence scoring and handles source contradictions transparently.

A command-line tool for performing web searches and extracting page content using the Brave Search API. It returns results in a structured format with optional markdown content extraction, useful for developers needing programmatic web access.

Provides MATLAB/Octave script generation for matrix operations, linear algebra, plotting, and data analysis. Includes cross-platform compatibility guidance and practical examples for common scientific computing tasks. Focuses on generating executable code rather than running computations directly.

This tool automates competitive intelligence gathering from websites, social media, and ad platforms. It identifies competitor moves, analyzes positioning shifts, and generates tactical recommendations like battle cards and gap analyses using structured templates and configurable alerts.

This skill provides access to scikit-bio, a Python library for biological data analysis. It handles sequence manipulation, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), statistical tests (PERMANOVA), and common file formats (FASTA, Newick, BIOM). The documentation includes specific code patterns for common bioinformatics tasks and troubleshooting guidance.