Medical Case Report Generator

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

When to Use

• Use this skill when the request matches its documented task boundary.
• Use it when the user can provide the required inputs and expects a structured deliverable.
• Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

• Scope-focused workflow aligned to: Generates a patient-friendly medical case report tweet from case images and disease name. Use when the user provides a medical case image and wants a structured report or tweet.
• Packaged executable path(s): scripts/validate_skill.py.
• Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

• Python: 3.10+. Repository baseline for current packaged skills.
• Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Others/medical-case-report-generator"
python -m py_compile scripts/validate_skill.py
python scripts/validate_skill.py --help

Example run plan:

1. Confirm the user input, output path, and any required config values.
2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
3. Run python scripts/validate_skill.py with the validated inputs.
4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

• Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
• Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
• Primary implementation surface: scripts/validate_skill.py.
• Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
• Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

python scripts/validate_skill.py --help

Medical Case Report Generator

Workflow

Follow these steps to generate the report.

1. Image Text Extraction

Input: case image Action: Extract printed and handwritten medical text from the image with high accuracy. Focus on medical terminology, numbers, and units. Perform image enhancement, correction, and validation.

Output: extracted medical text

2. Patient Info Extraction

Input: extracted medical text Action: Extract and anonymize patient information and examination results.

Include:

• Age
• Gender
• Occupation (if available)
• Chief complaint
• Medical history
• Examination types
• Examination results
• Final confirmed diagnosis

Rules:

• Remove personal identifiers
• Do not infer missing data
• Merge duplicate tests
• Mark abnormal values
• Extract only the main diagnosis of this visit

Output format:

## Case Summary
...

## Examination Results
...

Final diagnosis: ...

3. Disease Content Generation

Input: disease name Action: Generate three sections.

Disease Introduction

Include:

• Simple definition
• Core symptoms (≤5)
• Health risks
• Risk factors (modifiable / non-modifiable)
• Early warning signs

Treatment Options

Include:

• Guideline-based treatment strategies

• Classified by disease stage or severity

• For each method include:

  • Method name
  • Example therapies
  • Applicable patients
  • Key notes (effectiveness, duration, cost)

• Side effects and precautions

• Optional complementary therapies

Health Reminders

Include:

• Core management principle

• Daily advice:

  • Diet
  • Exercise
  • Sleep
  • Mental health

• Monitoring indicators

• Emergency warning signs

4. Encouragement Message

Generate 1-2 sentences of professional encouragement based on disease type.

Rules:

• Acute disease → emphasize medical progress and teamwork
• Chronic disease → emphasize long-term management and adaptation
• Warm but professional tone
• Group-oriented language
• End with exclamation mark

5. Title Generation

Generate 3 candidate titles.

Rules:

• Start with prefix: 【Case Report】
• 18-25 characters
• Include disease feature + patient group + awareness element
• No exaggeration or privacy exposure

6. Final Output Compilation

Combine all generated sections into a single Markdown report.

Structure:

## Title Options
...

## Case Summary
...

## Examination Results
...

## Disease Introduction
...

## Treatment Options
...

## Health Reminders
...

## Encouragement
...

Notes for Integration

This skill is designed for:

• opencode skill pipelines
• medical social media automation
• research-support system case summarization modules