How do I install the Clinical Note Summarization skill?

Run npx skillmds@latest add biotender-max/clinical-note-summarization in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Clinical Note Summarization skill do?

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Is Clinical Note Summarization safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Clinical Note Summarization?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Clinical Note Summarization free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Clinical Note Summarization?

BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Clinical Note Summarization by biotender-max

Name: Clinical Note Summarization
Author: BioTender-max

File contents

name: clinical-note-summarization description: Structure raw clinical notes into SOAP-format summaries with explicit contradictions, missing data, and ICD-linked assessments using the provided prompt + usage script. allowed-tools: - read_file - run_shell_command

At-a-Glance

description (10-20 chars): SOAP builder
keywords: clinical-notes, SOAP, guardrails, ICD10, gaps
measurable_outcome: Produce SOAP markdown + JSON (when requested) covering all four sections with ≥95% note coverage and explicit missing info in ≤2 minutes per note.

Inputs

note_text (dictation, OCR, or EHR export) and optional patient_context metadata.
output_format (markdown default, json when downstream validators need schema).

Outputs

Structured SOAP summary with Subjective/Objective/Assessment/Plan bulleting.
Alerts plus missing-information checklist.
Optional JSON payload using schema from README.

Workflow

Load system prompt: prompt.md enforces no hallucinations + data gap surfacing.
Normalize input: Pre-clean vitals, labs, and timeline context when available.
Generate summary: Call preferred LLM (OpenAI, Anthropic, Gemini, OSS) using usage.py as a template.
Validate: Cross-check extracted values vs. source text and ensure contradictions/missing data are spelled out.
Deliver output: Provide markdown + JSON as required and log PHI handling steps.

Guardrails

Never invent findings; state "not provided" explicitly.
Mark outputs as documentation support only—not clinical decisions.
Strip/re-mask PHI before storing prompts/responses.

References

For detailed schema, guardrails, and integration snippets see README.md, prompt.md, and usage.py.

---name: clinical-note-summarizationdescription: ---name: clinical-note-summarizationdescription: Structure raw clinical notes into SOAP-format summaries with explicit contradictions, missing data, and ICD-linked assessments using the provided prompt + usage script.allowed-tools: - read_file - run_shell_command---## At-a-Glance- **description (10-20 chars):** SOAP builder- **keywords:** clinical-notes, SOAP, guardrails, ICD10, gaps- **measurable_outcome:** Produce SOAP markdown + JSON (when requested) covering all four sections with ≥95% note coverage and explicit missing info in ≤2 minutes per note.## Inputs- `note_text` (dictation, OCR, or EHR export) and optional `patient_context` metadata.- `output_format` (`markdown` default, `json` when downstream validators need schema).## Outputs1. Structured SOAP summary with Subjective/Objective/Assessment/Plan bulleting.2. Alerts plus missing-information checklist.3. Optional JSON payload using schema from README.## Workflow1. **Load system prompt:** `prompt.md` enforces no hallucinations + data gap surfacing.2. **Normalize input:** Pre-clean vitals, labs, and timeline context when available.3. **Generate summary:** Call preferred LLM (OpenAI, Anthropic, Gemini, OSS) using `usage.py` as a template.4. **Validate:** Cross-check extracted values vs. source text and ensure contradictions/missing data are spelled out.5. **Deliver output:** Provide markdown + JSON as required and log PHI handling steps.## Guardrails- Never invent findings; state "not provided" explicitly.- Mark outputs as documentation support only—not clinical decisions.- Strip/re-mask PHI before storing prompts/responses.## References- For detailed schema, guardrails, and integration snippets see `README.md`, `prompt.md`, and `usage.py`.

Frequently asked questions

Clinical Note Summarization