medical-conference-search
Search medical conference and presentation databases. Use this skill whenever the user asks about medical conferences, academic conferences, session abstracts, posters, oral presentations, or conference-presented drug/trial data. Three scripts are available: search_conferences.py (find conferences), search_presentations.py (find abstracts/presentations), and search_chained.py (find conferences then auto-inject into presentation search). Trigger words include: conference, symposium, congress, ASCO, ESMO, AHA, ACC, session, abstract, poster, oral presentation, data presented at, efficacy data, safety data, congress abstract.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bombert/medical-conferenceWhat This Skill Does
The medical-conference-search skill is a specialized agentic tool designed to bridge the gap between complex medical research databases and your natural language queries. It serves as a powerful research assistant that automates the retrieval of academic content from major global medical meetings. Unlike a simple web search, this skill follows a sophisticated two-step chained workflow: first, it identifies relevant conferences, symposia, or congresses based on your criteria; second, it queries those specific events to extract granular details such as session abstracts, clinical trial efficacy data, safety profiles, and presentation posters. By automating the parsing of structured parameters—such as therapeutic areas, drug names, and institutions—it eliminates the manual effort of navigating disparate medical databases.
Installation
To install this skill, run the following command in your terminal within the OpenClaw environment:
clawhub install openclaw/skills/skills/bombert/medical-conference
Ensure that you have the necessary network permissions configured for your OpenClaw agent, as this skill performs external API requests to fetch up-to-date conference data.
Use Cases
This skill is engineered for medical researchers, pharmaceutical analysts, and healthcare professionals who need to keep pace with rapid developments in clinical science. Use it to:
- Monitor drug-specific performance data presented at major meetings like ASCO or ESMO.
- Locate sessions or posters covering specific disease states (e.g., metastatic lung cancer) and their underlying biological targets.
- Aggregate efficacy and safety data points directly from recently presented trial results.
- Identify key presenters or research institutions dominating specific therapeutic fields.
Example Prompts
- "Find efficacy and safety data for pembrolizumab in non-small cell lung cancer presented at the 2024 ASCO Annual Meeting."
- "Search for upcoming cardiology conferences in Europe focused on heart failure research for the next six months."
- "Show me the latest oral presentations from the most recent ESMO congress regarding VEGF inhibitors."
Tips & Limitations
To get the best results, be as specific as possible with your entity extraction. Providing the conference abbreviation (e.g., ASCO, AHA) and the specific disease or drug name significantly increases retrieval accuracy. Note that this skill is chained; the workflow is optimized to always pull the most relevant abstract data from the event queried. Avoid overly vague queries like 'tell me about medical news,' as they may lead to broad, non-specific results. Always verify clinical data against official primary sources when making decisions based on AI-summarized abstracts.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bombert-medical-conference": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api
Related Skills
clinical-trial-search
Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets, drug names, trial phases, NCT IDs, enrollment, or recruitment. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching trial records. Trigger words include: clinical trial, NCT, drug development, indication, target, phase, enrollment, recruitment, sponsor, cohort, arm, endpoint, efficacy, safety data.
drug-search
Search a pharmaceutical drug database for pipeline and development information. Use this skill whenever the user asks about drugs by name, target, indication, company, modality, phase, or development progress. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching drug records. Trigger words include: drug, compound, molecule, pipeline, drug target, indication, modality, antibody, small molecule, phase, approved, development stage, sponsor, drug company, bispecific, route of administration.