Research

This skill provides detailed guidance for interacting with the protocols.io API v3. It covers authentication, protocol lifecycle management, file handling, and workspace organization. The documentation includes specific endpoint examples, parameter details, and common integration patterns for scientific protocol management.

A highly specialized tool for pixel-perfect alignment between LaTeX and Word templates, specifically designed for NSFC grant applications with robust automation and AI-assisted decision making.

A structured guide for planning and executing UX research across the product lifecycle. It provides method selection frameworks, templates for research plans and reports, and specific guidance for handling PII and AI-powered features. Focuses on connecting research activities to business decisions.

This skill provides a systematic framework for evaluating scientific research quality, covering methodology critique, bias detection, statistical analysis, and logical fallacy identification. It includes specific checklists for assessing study design, validity, and evidence quality using GRADE and Cochrane ROB standards.

Generates 50+ page market research reports with LaTeX formatting, integrates multiple strategic frameworks (Porter's Five Forces, PESTLE, SWOT), and includes automated visual generation for charts and diagrams. Combines research data with consulting-style analysis.

Implements a 7-phase research protocol using Graph of Thoughts for multi-source investigation. Automatically classifies query types, triangulates sources with a 2-source rule, and outputs structured reports with full citation tracking. Creates evidence ledgers and handles contradictions explicitly.

This skill provides programmatic access to the RCSB Protein Data Bank for searching and downloading 3D molecular structures. It supports text, sequence, and structure similarity searches, file downloads in multiple formats, and metadata retrieval. The documentation includes extensive code examples for common structural biology workflows.

This skill aggregates developer opinions from Reddit, Hacker News, Dev.to, and Lobsters about technical topics. It extracts key themes, identifies consensus points, highlights controversies, and surfaces notable perspectives with source attribution. The parallel search approach speeds up data collection.

This skill provides programmatic access to the NHGRI-EBI GWAS Catalog for querying SNP-trait associations. It includes Python code examples for API calls, explains data structure, and covers variant, trait, and gene searches. The documentation details when to use it and includes practical query patterns for genetic epidemiology work.

This skill provides a Python-based toolkit for biological data analysis, covering sequence manipulation, alignments, phylogenetic trees, diversity metrics, and statistical tests. It includes detailed examples for common bioinformatics workflows and troubleshooting guidance.

This skill provides programmatic access to download data from the COSMIC cancer mutation database. It handles authentication, supports various data types like mutations, gene census, and signatures, and offers both Python scripts and command-line usage. It's designed for cancer genomics researchers who need to integrate COSMIC data into their analysis pipelines.

This skill provides clear guidance for using Tavily's web search and content extraction tools within Claude. It specifies when to use each tool, offers a practical workflow combining search and extract operations, and includes cost optimization tips. The trigger phrases cover common web research requests.