Clinical Case Report logo

Clinical Case Report

OrganizationPopular
nexu-io
clinical-case-report

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

Overview

Publishernexu-io
Repositoryopen-design
Skill nameclinical-case-report
Stars
96.7K
Forks
11.2K
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Clinical Case Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexu-io/open-design.git /tmp/open-design
mkdir -p .claude/skills
cp -r /tmp/open-design/design-templates/clinical-case-report .claude/skills/clinical-case-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clinical Case Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clinical Case Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clinical Case Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Clinical Case Report Skill

Generate a structured medical case presentation for clinical rounds, conferences, or documentation. The output follows standard medical formatting conventions used in hospital settings worldwide.

What you will produce

A single-page HTML case report (index.html). Content varies by format (see references/case-formats.md — selected in Step 0):

SOAP / Conference format:

  • Patient identification — age, sex, chief complaint
  • History of Present Illness (HPI) — chronological narrative with pertinent positives and negatives
  • Past Medical History, Medications, Allergies
  • Review of Systems
  • Physical Examination — systematic findings by system
  • Vital Signs — formatted table with reference ranges and flags
  • Investigations — laboratory results and imaging findings
  • Assessment — primary diagnosis and differential (3–5 items) with clinical reasoning for each
  • Management Plan — evidence-based, organised by problem

Brief Rounds format (daily review, ward round, handover, ICU, post-call):

  • ID line — age, sex, day of admission, primary problem
  • Interval events / current status — what has changed since last review
  • Active problems — numbered list
  • Plan-by-problem — concise actions for each active problem
  • Full HPI and systematic physical examination are not included

Step-by-step workflow

Step 0 — Load reference files

Before starting, read both reference files:

  1. references/case-formats.md — use this to choose the correct output format (SOAP, Conference, or Brief Rounds) based on the user's context
  2. references/checklist.md — keep P0 gates in mind throughout; you must pass all P0 items before emitting the final artifact

Step 1 — Parse the brief

Read the user's prompt and extract:

  • Patient age and sex
  • Chief complaint or presenting problem
  • Any vitals, labs, or imaging the user has provided
  • Clinical context: ED, ward rounds, conference case, outpatient, etc.
  • Specialty context: cardiology, emergency, internal medicine, etc.

If the chief complaint or presenting problem is missing:

  • SOAP / Conference: ask one clarifying question before proceeding. Do not proceed without it.
  • Brief Rounds: if the admission problem or ID line is already available (e.g. "day-3 ICU review for septic shock"), proceed directly — a separate chief complaint is not required.

Step 2 — Build the clinical narrative

For SOAP / Conference outputs: write the HPI as a continuous prose narrative in standard clinical style:

"This is a [age]-year-old [sex] with a history of [relevant PMH] who presents with [chief complaint]. Symptoms began [timeline] and are characterised by [quality, severity, radiation]. Associated symptoms include [list]. Pertinent negatives include [list]."

The HPI must be chronological. Include timeline markers ("2 hours prior to presentation", "onset yesterday morning").

For Brief Rounds outputs (daily review, ward round, handover, ICU, post-call): skip the full HPI and examination. Instead produce:

  • ID line: "[Age][sex], Day [N] of admission, [primary problem]"
  • Interval events / current status: what has changed since last review
  • Active problems: numbered list
  • Plan-by-problem: concise action for each active problem

Step 3 — Generate physiologically consistent clinical data

If the user has not provided specific values, generate values that are internally consistent with the diagnosis:

Consistency checks (typical patterns):

  • A patient in shock typically has: HR >100, SBP <90, raised lactate, impaired capillary refill — but medications (beta-blockers), age, or shock type (neurogenic, spinal) can alter this pattern
  • Pneumonia typically presents with raised WBC, raised CRP, temperature >38°C — but afebrile pneumonia exists, especially in the elderly or immunocompromised
  • A STEMI typically shows ST elevation in contiguous leads and raised high-sensitivity troponin — but early presentations may have initially normal troponin; CK-MB is not universally required
  • Sepsis typically shows raised or low WBC, raised lactate >2, temperature abnormality — but compensated early sepsis may present with normal vitals
  • Lab units must match convention: creatinine in µmol/L or mg/dL (state which), glucose in mmol/L, haemoglobin in g/dL

Critical rule — preserve user-provided data:

  • Never overwrite a value the user has explicitly stated
  • If a user-provided value is atypical for the diagnosis, keep it and note the atypical presentation in the assessment rather than forcing canonical numbers
  • Never generate a value that contradicts the stated diagnosis

Step 4 — Write the assessment

The assessment section must contain:

  1. Primary diagnosis stated clearly on the first line
  2. Clinical reasoning — one sentence explaining why this is the most likely diagnosis
  3. Differential diagnosis — exactly 3 to 5 items, each with one sentence of supporting or refuting evidence
  4. Risk stratification — include a validated clinical score where applicable (TIMI for ACS, GRACE for ACS, Killip class + Shock Index for STEMI/cardiogenic shock, CURB-65 for pneumonia, qSOFA for sepsis, Wells for PE, etc.). Killip class and Shock Index together are accepted as sufficient risk stratification for STEMI/cardiogenic shock cases.

Step 5 — Write the management plan

The plan must be:

  • Specific: write drug names, doses, routes, and frequencies. Do not write "start antibiotics" — write "Piperacillin-Tazobactam 4.5g IV q8h for 5 days"
  • Organised by problem using numbered headers
  • Evidence-based: management must reflect current standard of care for the diagnosis
  • Complete: include investigations to order, monitoring parameters, consults to request, and disposition

If you are uncertain about a specific dose, write "[drug name] — dose per local formulary/protocol" rather than inventing a dose.

Important — Prescribing Safety

Generated plans must:

  • Be marked as educational/simulated, not a substitute for clinician judgment
  • Use "per local formulary/protocol" language when required patient variables (weight, renal function, allergies) are missing from the brief
  • List key contraindications and unknowns before medication recommendations when relevant patient data has not been provided
  • Never claim a plan is "definitive" or "standard of care" without full patient context (allergy status, renal/hepatic function, pregnancy status, weight, anticoagulation/bleeding risk)
  • Include a disclaimer footer in the HTML output stating the case is for educational and documentation purposes only

Step 6 — Write index.html

Requirements for the HTML output:

  • Professional medical document typography (Georgia or system serif font preferred)
  • White background, dark text — suitable for printing
  • Vital signs and lab results in HTML <table> elements
  • Critical findings (ST elevation, raised troponin, low BP, etc.) highlighted in a visually distinct callout box with red left border
  • @media print CSS rules so the document prints cleanly on A4/Letter
  • Tag every major section with data-od-id for comment-mode targeting:
html
<section data-od-id="hpi">...</section>
<section data-od-id="vitals">...</section>
<section data-od-id="pmh">...</section>
<section data-od-id="examination">...</section>
<section data-od-id="investigations">...</section>
<section data-od-id="assessment">...</section>
<section data-od-id="plan">...</section>

Step 7 — Self-check against references/checklist.md

Before emitting <artifact>, run every P0 item in references/checklist.md. All P0 items must pass. Fix any failures before emitting.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clinical Case Report AI skill do?

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

Why use Clinical Case Report on TypingMind?

Because you install it once and use it with any model. Clinical Case Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clinical Case Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/open-design/tree/main/design-templates/clinical-case-report. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clinical Case Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clinical Case Report?

As many as you like. As long as a model supports skills, you can use Clinical Case Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clinical Case Report AI skill free?

Yes. It is published on GitHub by nexu-io under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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