What are the rate limits for the ClinicalTrials.gov API?

The API generally supports approximately 50 requests per minute. This skill is designed to work within those limits while handling pagination for you.

Is it possible to find only recruiting trials in a specific city?

Yes, you can combine location filters (e.g., 'New York') with status filters (e.g., 'RECRUITING') to find local opportunities for patients.

Does this skill support searching for specific drugs or interventions?

Absolutely. You can use the intervention parameter to search for trials testing specific drugs, medical devices, or procedural interventions.

Do I need an API key to use the clinicaltrials-database skill?

No, this skill interacts with the ClinicalTrials.gov API v2, which is a public resource that does not require authentication.

Can I export clinical trial data to Excel or Google Sheets?

Yes, the skill includes functionality to export search results in CSV format, which is fully compatible with all major spreadsheet software.

ClinicalTrials.gov Explorer

Name: ClinicalTrials.gov Explorer
Author: Activer007

byActiver007

데이터 과학 및 ML

Accesses the ClinicalTrials.gov API v2 to search, filter, and export comprehensive global clinical study data for research and analysis.

소개

The clinicaltrials-database skill provides a robust interface for interacting with the U.S. National Library of Medicine's registry of clinical studies. It enables researchers and developers to programmatically query trials based on medical conditions, interventions, geographic locations, and study phases. By automating data retrieval and supporting exports in both JSON and CSV formats, this skill streamlines complex tasks such as patient-trial matching, competitive pharmaceutical intelligence, and institutional research monitoring directly within the Claude environment.

주요 기능

Detailed extraction of study protocols, eligibility criteria, and results
0 GitHub stars
Advanced multi-parameter search by condition, drug, sponsor, and location
Data export capabilities in CSV format for external analysis
Automated pagination handling for bulk data retrieval and harvesting
Real-time filtering by recruitment status and clinical trial phase

사용 사례

Tracking institutional research portfolios and geographic trial distributions
Building patient-matching workflows to find recruiting trials for specific conditions
Performing competitive landscape analysis for pharmaceutical drug development

소개

주요 기능

Detailed extraction of study protocols, eligibility criteria, and results
0 GitHub stars
Advanced multi-parameter search by condition, drug, sponsor, and location
Data export capabilities in CSV format for external analysis
Automated pagination handling for bulk data retrieval and harvesting
Real-time filtering by recruitment status and clinical trial phase

사용 사례

Tracking institutional research portfolios and geographic trial distributions
Building patient-matching workflows to find recruiting trials for specific conditions
Performing competitive landscape analysis for pharmaceutical drug development