How do I install the Clinicaltrials Database skill?

Run npx skillmds@latest add drshailesh88/clinicaltrials-database in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Clinicaltrials Database skill do?

ClinicalTrials.gov Database It is listed under Coding & Dev Tools on SkillMD.

Is Clinicaltrials Database safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Clinicaltrials Database?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Clinicaltrials Database free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Clinicaltrials Database?

drshailesh88 (@drshailesh88) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Clinicaltrials Database by drshailesh88

Name: Clinicaltrials Database
Author: drshailesh88

File contents

ClinicalTrials.gov Database

Query the U.S. National Library of Medicine's clinical trials registry through API v2. Public access, no authentication required.

Triggers

User asks about ongoing or completed clinical trials
User needs trial details for a specific drug/intervention
User wants to track recruitment status
User is analyzing trial landscape for a cardiology topic
User needs NCT numbers for references

Core Capabilities

Function	Description
Condition search	Find trials for specific diseases
Intervention tracking	Identify trials testing drugs/devices
Geographic filtering	Locate trials by region/facility
Sponsor lookup	Search by conducting organization
Status filtering	Filter by recruitment stage
NCT detail retrieval	Full study information via NCT ID
CSV export	Download data for analysis

API Technical Details

Rate limit: ~50 requests/minute
Response formats: JSON, CSV
Max page size: 1000 studies per request
Date format: ISO 8601

Example Searches

Cardiology Trial Discovery

# Find active heart failure trials
GET /studies?query.cond=heart+failure&filter.overallStatus=RECRUITING

# SGLT2 inhibitor trials in cardiology
GET /studies?query.intr=SGLT2+inhibitor&query.cond=cardiovascular

# Trials at major academic centers
GET /studies?query.locn=Cleveland+Clinic&query.cond=coronary+artery+disease

# Phase 3 trials for new anticoagulants
GET /studies?query.intr=anticoagulant&filter.phase=PHASE3

Common Status Values

RECRUITING - Currently enrolling
ACTIVE_NOT_RECRUITING - Ongoing, enrollment closed
COMPLETED - Trial finished
TERMINATED - Stopped early
WITHDRAWN - Never started enrollment

Workflow Integration

For Newsletter/Editorial Content

Search for recent trial results in target area
Identify landmark trials by enrollment size and phase
Pull NCT IDs for proper citation
Cross-reference with PubMed for published results
Note primary endpoints and key secondary outcomes

For Trial Analysis Pieces

Retrieve full study record via NCT ID
Extract: design, enrollment, endpoints, sponsor
Compare with published results if available
Assess trial quality (blinding, randomization, sample size)
Contextualize within existing evidence

Key Fields to Extract

Field	Use Case
`briefTitle`	Quick reference
`officialTitle`	Full citation
`studyType`	Interventional vs observational
`phases`	Development stage
`enrollmentInfo`	Sample size
`primaryOutcomes`	Main endpoints
`startDate` / `completionDate`	Timeline
`leadSponsor`	Industry vs academic

Best Practices

Always cite NCT number when discussing trials
Note enrollment numbers for context on power
Distinguish between primary and secondary endpoints
Check for related publications in PubMed
Note funding source for potential bias assessment

---name: clinicaltrials-databasedescription: ClinicalTrials.gov Database---# ClinicalTrials.gov DatabaseQuery the U.S. National Library of Medicine's clinical trials registry through API v2. Public access, no authentication required.## Triggers- User asks about ongoing or completed clinical trials- User needs trial details for a specific drug/intervention- User wants to track recruitment status- User is analyzing trial landscape for a cardiology topic- User needs NCT numbers for references## Core Capabilities| Function | Description ||----------|-------------|| Condition search | Find trials for specific diseases || Intervention tracking | Identify trials testing drugs/devices || Geographic filtering | Locate trials by region/facility || Sponsor lookup | Search by conducting organization || Status filtering | Filter by recruitment stage || NCT detail retrieval | Full study information via NCT ID || CSV export | Download data for analysis |## API Technical Details- **Rate limit**: ~50 requests/minute- **Response formats**: JSON, CSV- **Max page size**: 1000 studies per request- **Date format**: ISO 8601## Example Searches### Cardiology Trial Discovery```python# Find active heart failure trialsGET /studies?query.cond=heart+failure&filter.overallStatus=RECRUITING# SGLT2 inhibitor trials in cardiologyGET /studies?query.intr=SGLT2+inhibitor&query.cond=cardiovascular# Trials at major academic centersGET /studies?query.locn=Cleveland+Clinic&query.cond=coronary+artery+disease# Phase 3 trials for new anticoagulantsGET /studies?query.intr=anticoagulant&filter.phase=PHASE3```### Common Status Values- `RECRUITING` - Currently enrolling- `ACTIVE_NOT_RECRUITING` - Ongoing, enrollment closed- `COMPLETED` - Trial finished- `TERMINATED` - Stopped early- `WITHDRAWN` - Never started enrollment## Workflow Integration### For Newsletter/Editorial Content1. Search for recent trial results in target area2. Identify landmark trials by enrollment size and phase3. Pull NCT IDs for proper citation4. Cross-reference with PubMed for published results5. Note primary endpoints and key secondary outcomes### For Trial Analysis Pieces1. Retrieve full study record via NCT ID2. Extract: design, enrollment, endpoints, sponsor3. Compare with published results if available4. Assess trial quality (blinding, randomization, sample size)5. Contextualize within existing evidence## Key Fields to Extract| Field | Use Case ||-------|----------|| `briefTitle` | Quick reference || `officialTitle` | Full citation || `studyType` | Interventional vs observational || `phases` | Development stage || `enrollmentInfo` | Sample size || `primaryOutcomes` | Main endpoints || `startDate` / `completionDate` | Timeline || `leadSponsor` | Industry vs academic |## Best Practices- Always cite NCT number when discussing trials- Note enrollment numbers for context on power- Distinguish between primary and secondary endpoints- Check for related publications in PubMed- Note funding source for potential bias assessment

Frequently asked questions

Clinicaltrials Database