research▌

### Pdb Database - name: "pdb-database" - description: "Use when you want to search for or download experimentally-determined 3D structures for biomolecules (proteins, nucleic acids, bound ligands). Supports searching by sequence similarity, structure simi..."

### Alphafold Database Fetch And Analyze - name: "alphafold-database-fetch-and-analyze" - description: "Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis,..."

Guides competitor research for SEO, content, backlinks, and positioning. Use when planning content, auditing articles, building links, or evaluating market position.

Research topics and create compelling content for blogs, articles, and marketing materials.

Web toolkit powered by Exa for scientific and technical content search and URL extraction.

### Clinical Trials Database - name: "clinical-trials-database" - description: "Query ClinicalTrials.gov via APIv2. Use when you want to search for trials by condition, drug, location, status, or phase; retrieve trial details by NCT ID; check eligibility/inclusion criteria; count..."

Use this skill when the user wants to:

Academic research documents with peer-reviewed sources, IEEE citations, and scholarly rigor. \n \n Supports multiple document types: research papers, literature reviews, theses, dissertations, conference papers, and technical reports with standard academic structure \n Integrates source discovery from Google Scholar, IEEE Xplore, PubMed, ACM Digital Library, and arXiv with built-in verification for peer-review credibility and author credentials \n Generates IEEE-format references automatically w

Orchestrates multi-source web research by delegating to subagents, synthesizing findings, and producing cited reports. \n \n Breaks research questions into 2–5 distinct subtopics, creates a research plan file, and spawns up to 3 subagents in parallel for efficient investigation \n Each subagent performs 3–5 web searches per subtopic and writes findings to local files with key facts, quotes, and source URLs \n Synthesizes results by reading local findings files, integrating insights across subtop

aris-autonomous-ml-research