How specific can the clinical trial search queries be?

Queries can be highly specific, filtering by condition, intervention name, NCT ID, study status, trial phase, geographic location, and lead sponsor.

Does this skill require an API key to access ClinicalTrials.gov?

No, the ClinicalTrials.gov API v2 is public and does not require authentication, though it has a rate limit of approximately 50 requests per minute.

Can Claude analyze trial eligibility criteria using this skill?

Yes, the skill retrieves the full eligibility module, allowing Claude to parse and summarize inclusion and exclusion criteria for specific trials.

Is this skill integrated with the Kosmos AI project?

Yes, it is part of the Kosmos repository, designed to function as a domain-specific capability for an autonomous AI scientist framework.

Can I export clinical trial data to CSV with this skill?

Yes, the skill includes functions to retrieve data in both JSON and CSV formats, making it easy to move data into spreadsheets or analysis tools.

ClinicalTrials.gov Search & Analytics

Name: ClinicalTrials.gov Search & Analytics
Author: jimmc414

byjimmc414

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324

Data Science & ML

Facilitates programmatic access to the ClinicalTrials.gov API v2 for advanced trial discovery, patient matching, and medical research data extraction.

About

This skill provides Claude Code with specialized capabilities to interact with the U.S. National Library of Medicine’s ClinicalTrials.gov database. It allows users to search, filter, and analyze clinical study data using criteria such as medical conditions, specific drug interventions, geographic locations, and trial phases. By integrating with the API v2, the skill streamlines complex research tasks like tracking drug development pipelines, identifying recruiting trials for patient populations, and exporting study details for longitudinal analysis, all within the Claude environment.

Key Features

Advanced API v2 search by condition, drug intervention, and sponsor
Support for exporting trial data in both JSON and CSV formats
Automated pagination handling for bulk data retrieval and analysis
Geographic filtering for site-specific trial discovery and mapping
Detailed extraction of eligibility criteria and outcome measures
324 GitHub stars

Use Cases

Identifying active recruitment sites for rare disease patient matching and clinical referrals
Analyzing the competitive landscape for specific pharmaceutical drug classes and interventions
Extracting structured data for academic literature reviews and meta-analyses of study designs

About

Key Features

Advanced API v2 search by condition, drug intervention, and sponsor
Support for exporting trial data in both JSON and CSV formats
Automated pagination handling for bulk data retrieval and analysis
Geographic filtering for site-specific trial discovery and mapping
Detailed extraction of eligibility criteria and outcome measures
324 GitHub stars

Use Cases

Identifying active recruitment sites for rare disease patient matching and clinical referrals
Analyzing the competitive landscape for specific pharmaceutical drug classes and interventions
Extracting structured data for academic literature reviews and meta-analyses of study designs