Can I query using Italian medical terminology?

Yes, the implementation protocol includes searching for medical synonyms in both English and Italian, as well as common abbreviations like 'AF' or 'TAC'.

Does it provide the level of evidence for recommendations?

Yes, the skill is specifically programmed to extract and display both the Class of Recommendation and the Level of Evidence (e.g., Class I, Level B) as defined by the ESC.

How does the skill find the right guideline?

It uses a three-phase system starting with a keyword-based search of a master index (TOC) to identify the correct PDF file, section, and page number before reading the document.

Where does the skill look for the guideline files?

It expects the PDF documents to be located within the 'references/esc-guidelines/' directory and uses the 'ESC_GUIDELINES_TOC.md' file as its primary search index.

ESC Guidelines Query System

Name: ESC Guidelines Query System
Author: bdeornelas

bybdeornelas

学习与文档

Queries official European Society of Cardiology (ESC) guidelines to provide cited clinical recommendations and threshold data.

关于

This skill transforms Claude into a specialized clinical assistant for cardiology by implementing an intelligent three-phase retrieval system for ESC guidelines. It automatically analyzes clinical queries, locates the relevant PDF documents via a Master Table of Contents, and extracts exact recommendations—including Class and Level of Evidence—to ensure medical accuracy. By providing verbatim citations and page-specific references, it allows healthcare professionals to quickly verify diagnostic criteria, surgical thresholds, and therapeutic protocols against the latest official cardiovascular standards.

主要功能

0 GitHub stars
Automatic Table of Contents (TOC) analysis for precise PDF mapping
Support for cross-guideline comparison and 'What's New' analysis
Extraction of Recommendation Classes (I-III) and Evidence Levels (A-C)
Intelligent 3-phase retrieval system: Locate, Read, and Cite
Verbatim citation capture with exact page and section references

使用场景

Extracting Class I diagnostic imaging protocols for specific patient cohorts.
Verifying treatment thresholds and surveillance intervals for conditions like aortic aneurysms.
Comparing updated 2024 ESC recommendations against previous versions for clinical changes.

关于

主要功能

0 GitHub stars
Automatic Table of Contents (TOC) analysis for precise PDF mapping
Support for cross-guideline comparison and 'What's New' analysis
Extraction of Recommendation Classes (I-III) and Evidence Levels (A-C)
Intelligent 3-phase retrieval system: Locate, Read, and Cite
Verbatim citation capture with exact page and section references

使用场景

Extracting Class I diagnostic imaging protocols for specific patient cohorts.
Verifying treatment thresholds and surveillance intervals for conditions like aortic aneurysms.
Comparing updated 2024 ESC recommendations against previous versions for clinical changes.