Source: https://github.com/aipoch/medical-research-skills

Baseline Extraction (RCT)

This skill extracts 10 key baseline characteristics from clinical trial articles. It implements a hybrid workflow:

1. PubMed Lookup: Checks PubMed API using the PMID to verify existence and get basic metadata.
2. LLM Extraction: Analyzes the article text to extract detailed baseline data (since PubMed metadata is limited).

When to Use

• Use this skill when you need extracts clinical trial baseline data (study, region, participants, etc.) from article text or pmid. checks pubmed for metadata; always falls back to llm extraction for full details in a reproducible workflow.
• Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
• Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
• Use this skill when scripts/extract_pdf.py is the most direct path to complete the request.
• Use this skill when you need the baseline-extraction for clinical trials package behavior rather than a generic answer.

Key Features