pregnancy-care

Automates prenatal health data management by extracting and organizing reports and images via chat.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/VGEAREN/pregnancy-care --skill pregnancy-care
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pregnancy-care
Source: https://github.com/VGEAREN/pregnancy-care/tree/main
Command: npx skills add https://github.com/VGEAREN/pregnancy-care --skill pregnancy-care

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydicom, Pillow, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This OpenClaw skill enables chat-based management of prenatal health data by automatically extracting, organizing, and archiving prenatal reports and images (including B-ultrasound and DICOM data), tracking indicators, and providing knowledge-base references.

Core Features & Use Cases

  • Report recognition and archival: AI-powered extraction and structured storage of prenatal reports.
  • Trend tracking and planning: automatic aggregation of indicators into trend charts and pregnancy checkup timelines.
  • Ultrasound management: supports standard images and DICOM data with data extraction.
  • Anomaly analysis: leverages knowledge base to interpret unusual values and provide explanations.
  • PDF reporting: one-click generation of comprehensive pregnancy reports with charts.
  • Knowledge base: expandable library of pregnancy-focused books that can be indexed in the INDEX.
  • Data storage: all user data stored as Markdown under a local pregnancy/ workspace with known folders.

Quick Start

Clone the repository, install requirements, initialize the pregnancy-care workspace, and start using the skill to manage prenatal data.

Frequently Asked Questions about pregnancy-care

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage prenatal checkup reports and B-ultrasound images in one place?

Prenatal checkup reports and B-ultrasound images are managed by extracting data into a local workspace, organizing records into Markdown, and generating trend charts or PDFs. This approach automatically archives health indicators and tracks pregnancy timelines.

Can I extract data from DICOM files for pregnancy health tracking?

DICOM data extraction for pregnancy health tracking is supported using the pydicom library to parse B-ultrasound images. Extracted ultrasound information is structured and stored locally, allowing you to query and analyze prenatal imaging data.

What is the best way to generate a PDF report from pregnancy checkup data?

Generating a PDF report from pregnancy checkup data is achieved by aggregating stored prenatal indicators into trend charts and compiling health timelines. The system produces a comprehensive document that consolidates extracted reports and ultrasound data.

How do I interpret unusual prenatal health indicator values?

Unusual prenatal health indicator values are interpreted using a built-in knowledge base. The system analyzes anomalous data points against an expandable library of pregnancy-focused books to provide explanations and context for the extracted records.

Do I need Python 3 to set up the pregnancy health data workspace?

Python 3 is required to run the scripts and initialize the local pregnancy health data workspace. You must install dependencies like pydicom, Pillow, and numpy to process images and manage the structured Markdown storage.

How does chat-based pregnancy health data management work?

Chat-based pregnancy health data management works by directing automated scripts to extract, organize, and archive prenatal records. Conversational inputs trigger the system to parse uploaded reports, analyze DICOM images, and generate trend charts or PDFs.