This skill helps you get ready for a medical appointment when you ask for it by name. It organizes your symptoms over time, weighs the evidence behind a diagnosis or treatment you're looking into, checks for red flags that need urgent care, and keeps alternative explanations in view. It ends with a structured summary and a list of questions to bring to your clinician. It is not medical advice.
Explain a diagnosis or scan result to a patient without frightening themThis skill helps a clinician explain a condition or a scan report to a patient in plain words that ease fear rather than add to it. It translates alarming terms such as 'wear and tear' into what they mean and how common they are in people without symptoms, and it states openly what is uncertain. It also covers what the patient can do, which signs should prompt a review, and questions to check the message landed. It is a communication aid; the clinical content stays the clinician's, and it is not medical advice.HealthcareHealthcare
De-identify clinical data with a local script before AI analysisThis skill from Aperivue's medical research collection guides a researcher through removing protected health information from CSV, TSV or Excel files before any AI-assisted analysis. The removal itself happens in a Python script on the researcher's computer that never goes online or calls a model, using patterns for 12 countries and an interactive review in the researcher's own terminal. The agent explains and checks the process but is told never to ask for raw patient data or to read the mapping file of original values. It covers assessment, scanning, review, de-identification and verification, with references for the HIPAA Safe Harbor list and date shifting. Never paste or upload raw patient data to the agent, and check the output before sharing it, since a pattern-based tool can miss identifiers.HealthcareHealthcare dataPrivacy
Check a manuscript against reporting guidelinesThis skill audits a medical or scientific manuscript one item at a time against a published reporting checklist or a risk-of-bias tool. It covers 49 instruments, including CONSORT, STROBE, STARD, PRISMA, TRIPOD+AI and QUADAS, picks the right one from the study type or asks when unsure, and marks every item as present, partial or missing with where it was found. It adds cross-checks such as registration timing and PRISMA flow-diagram arithmetic, and it can tell when an older checklist no longer matches the current draft. It is part of a set of medical-research skills built by a physician-researcher.HealthcareMedical researchManuscript review
Draft a clinical trial protocolThis skill writes a clinical trial protocol for a drug or medical device. It first researches similar trials through a clinical trials MCP server and checks the FDA pathway, then fills a protocol template step by step. A research-only mode returns the summary without the full protocol.HealthcareClinical TrialsRegulatory
Check healthcare claims against CMS billing rules and NCCI editsThis AWS Labs reasoning skill helps an agent answer questions about healthcare claims billing and spot likely fraud, waste and abuse. It holds reference material on CMS site-of-care codes, post-surgery global periods, modifiers such as 25 and 59, and NCCI code-pair edits, plus patterns like upcoding, unbundling, phantom billing and impossible days. It also helps tell coding errors apart from fraud, and answers lead with a recommendation followed by the specific criteria and caveats. It is meant for claims audit and billing compliance work. Billing rules change, so check the current CMS and NCCI tables before acting on an answer.HealthcareHealthcare claimsBilling compliance
Parse, profile and check healthcare claims data for billing anomaliesAn AWS Labs skill that gives an agent copy-ready Python and SQL for healthcare claims data. It parses X12 837 and 835 files into tables, profiles providers' evaluation and management coding against peers, flags outliers and impossible days, checks NCCI code-pair edits, finds duplicate claims and runs a Benford's law test on charges. It is aimed at analysts building claims pipelines or reviewing billing patterns. An outlier it flags is a lead to review, not proof of fraud.HealthcareHealthcare claimsAnalytics
Explain a diagnosis or scan result to a patient without frightening them
De-identify clinical data with a local script before AI analysis
Check a manuscript against reporting guidelines
Parse, profile and check healthcare claims data for billing anomalies