Agent skill

Medical Education Video

by LeoYeAI in LeoYeAI/openclaw-master-skills

Medical Education Video Maker — Create Clinical Training and CME Videos.

MITAuto-check passedResearch & Science

Install Medical Education Video

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/medical-education-video .claude/skills/medical-education-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
medical-education-video
GitHub stars
2.2k
Token cost
~4.1k tokens
SKILL.md length
2,030 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Medical Education Video Maker — Create Clinical Training and CME Videos.

  • Works in 3 steps: Clinical Procedure — Technique… → Case Study — Diagnostic Reasoning… → CME Lecture — Evidence-Based Update
  • Tasks that involve Clinical and healthcare research
  • SKILL.md covers Example Prompts, Parameters, Workflow and API Example, plus 3 more sections
  • Calls curl; reaches mega-api-prod.nemovideo.ai; needs NEMO_TOKEN

What it does

Medical Education Video is an agent skill from LeoYeAI/openclaw-master-skills. Medical Education Video Maker — Create Clinical Training and CME Videos.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Clinical and healthcare research

Example prompts

  • “/medical-education-video”

Requirements

  • A credential in NEMO_TOKEN

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Clinical Procedure — Technique Demonstration
  2. Case Study — Diagnostic Reasoning Walkthrough
  3. CME Lecture — Evidence-Based Update

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mega-api-prod.nemovideo.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • NEMO_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Medical Education Video loads about 4.1k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 2,030 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,030 words, ~4,087 tokens.

Download SKILL.mdSave it as .claude/skills/medical-education-video/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
medical-education-video
description
Medical Education Video Maker — Create Clinical Training and CME Videos.
version
1.0.0
displayName
Medical Education Video Maker — Create Clinical Training and CME Videos

Medical Education Video Maker — Clinical Training and CME Videos

The medical student has memorized 10,000 terms, studied 4,000 pages of anatomy, pathology, and pharmacology textbooks, and can recite the Krebs cycle from memory at 2 AM after 14 hours of studying — yet when faced with their first real patient presenting with vague abdominal pain and contradictory symptoms, they discover that the distance between knowing the textbook and applying the knowledge is approximately the same distance as knowing how to swim from reading a book about swimming and actually being thrown into water, which is why medical education has always relied on clinical experience, simulation, and case-based learning, and why video has become an essential delivery medium for the portions of medical training that benefit from visual demonstration, standardized presentation, and the ability to pause and replay a procedure that in real life happens once and cannot be rewound. Medical education video content serves a profession where the stakes of misunderstanding are measured in human outcomes — making the clarity, accuracy, and production quality of educational materials not a nice-to-have but a clinical imperative. This tool transforms medical knowledge into polished educational videos — clinical-procedure demonstrations showing techniques with the detail that only multi-angle video can capture, case-study presentations walking through diagnostic reasoning from initial presentation to treatment plan, continuing-medical-education lectures delivering accredited learning in engaging formats, anatomy and physiology animations making invisible processes visible, clinical-guideline summaries translating dense evidence-based recommendations into actionable clinical knowledge, and the simulation-debrief videos that turn training scenarios into lasting learning experiences. Built for medical schools creating digital curricula, teaching hospitals producing clinical-education libraries, CME providers developing accredited content, medical-device companies training clinicians on new equipment, nursing programs creating skills-demonstration videos, and any healthcare educator whose knowledge must reach learners with the precision that patient safety demands.

Example Prompts

1. Clinical Procedure — Technique Demonstration

"Create a 6-minute clinical procedure video demonstrating proper central venous catheter insertion. Pre-procedure (0-40 sec): equipment layout. 'Before beginning, verify: CVC kit, sterile gown and gloves, ultrasound with sterile probe cover, chlorhexidine, lidocaine, sterile drapes, and a time-out checklist.' Show each item. 'The time-out: confirm patient identity, procedure, site (right internal jugular in this demonstration), allergies, and consent. The time-out exists because wrong-site procedures happen when checklists are skipped.' Sterile technique review: 'Full barrier precautions — cap, mask, sterile gown, sterile gloves, and a large sterile drape covering the patient. Studies show full barrier reduces infection rates by 50% compared to sterile gloves alone.' Patient positioning (40-70 sec): 'Trendelenburg position — 15-degree head-down tilt.' Why: 'Distends the internal jugular vein, making it a larger target, and reduces air-embolism risk.' Show the positioning. 'Turn the patient's head 30 degrees to the contralateral side. Excessive rotation collapses the vein — 30 degrees is optimal.' Ultrasound identification (70-130 sec): place the probe. 'The internal jugular vein sits lateral and superficial to the carotid artery at most levels.' Show the ultrasound image — annotated. 'The vein: compressible, non-pulsatile, larger. The artery: non-compressible, pulsatile, smaller.' Demonstrate compression: 'Light pressure collapses the vein. The artery resists.' 'Identify the vein in two planes — short axis and long axis — before needling. This confirms anatomy and rules out thrombosis.' The insertion (130-250 sec): 'Infiltrate lidocaine at the skin entry site and along the anticipated needle path.' Advance the needle under real-time ultrasound guidance. 'In the short-axis view, the needle tip appears as a bright dot.' Show the ultrasound: the needle advancing toward the vein. 'Maintain visualization of the tip at all times. If you lose the tip, stop advancing.' The vein is entered — dark blood in the syringe. 'Aspirate to confirm venous blood — dark and non-pulsatile. If bright red and pulsatile, you're in the artery. Remove the needle and hold pressure.' Thread the guidewire. 'The wire should advance smoothly. Any resistance — stop. Do not force the wire.' Show ECG monitoring: 'Watch for arrhythmias during wire advancement — the wire can irritate the right atrium.' Nick the skin. Advance the dilator over the wire. 'The dilator only needs to enter the vein — not the full length.' Remove the dilator. Thread the catheter. Secure and confirm (250-320 sec): 'Aspirate all ports to confirm blood return. Flush each port.' 'Secure with a stat-lock or sutures.' 'Order a chest X-ray to confirm position — the tip should sit at the cavoatrial junction — and rule out pneumothorax.' Show the X-ray: correct positioning annotated. 'Document: indication, consent, site, number of attempts, ultrasound use, and any complications.' Complications review (320-360 sec): rapid-fire with images. 'Arterial puncture: hold pressure 10 minutes minimum. Pneumothorax: watch for respiratory distress, order chest X-ray. Air embolism: place patient in left lateral decubitus, Trendelenburg. Arrhythmia: withdraw the wire slightly. Infection: strict sterile technique is prevention.'"

2. Case Study — Diagnostic Reasoning Walkthrough

"Build a 7-minute case-study video teaching diagnostic reasoning. The presentation (0-30 sec): 'A 62-year-old woman presents to the ED with 3 hours of crushing substernal chest pain radiating to her left arm, diaphoresis, and nausea.' Vital signs on screen: HR 102, BP 92/58, RR 22, SpO2 94%, Temp 37.1. 'Before we discuss the differential, what do the vitals tell you?' Pause: 'She's tachycardic, hypotensive, and tachypneic. These vitals say: this patient is in distress and may be hemodynamically unstable.' The differential (30-90 sec): 'Classic teaching says: chest pain differential includes the "big five" — acute coronary syndrome, aortic dissection, pulmonary embolism, tension pneumothorax, and esophageal rupture.' Show the five on screen. 'But clinical reasoning isn't about listing differentials. It's about ranking them by probability and lethality.' The ranking: 'Given substernal crushing pain radiating to the left arm with diaphoresis in a 62-year-old — ACS is the highest probability. Aortic dissection is the most dangerous to miss. We pursue both simultaneously.' The workup (90-180 sec): 'ECG first — obtained within 5 minutes of arrival.' Show the ECG tracing — annotated. 'ST elevation in leads II, III, and aVF with reciprocal depression in I and aVL. This is an inferior STEMI.' 'The ECG changes the situation. This isn't "chest pain to evaluate." This is a heart attack requiring emergent intervention.' Troponin: 'Drawn but we're not waiting for results. The ECG is diagnostic. Troponin confirms but doesn't change immediate management.' 'Right-sided ECG: obtained because inferior STEMI has a 30-40% association with right ventricular involvement.' Show V4R: ST elevation present. 'RV involvement confirmed. This changes fluid management — this patient needs volume, not diuretics. Give fluids cautiously.' The management (180-270 sec): 'STEMI protocol activates. Cardiology is called. The catheterization lab is being prepared.' Immediate management — on screen as a checklist: 'Aspirin 325mg — chewed, not swallowed. Heparin bolus and drip. P2Y12 inhibitor per institutional protocol. Nitro is contraindicated with RV involvement and hypotension.' 'Why no nitro? Nitroglycerin causes venodilation, which reduces preload. An RV infarct already has impaired right-sided output. Reducing preload further can cause cardiovascular collapse.' 'Instead: 250mL normal saline bolus. Reassess BP. The goal is supporting right-sided output with volume.' The teaching point (270-340 sec): 'The critical reasoning chain: substernal chest pain → ECG within 5 minutes → ST elevation → STEMI activation → right-sided ECG because inferior location → RV involvement confirmed → fluid resuscitation instead of nitro → cath lab.' 'Each step builds on the previous one. The student who orders nitro before checking for RV involvement has followed the "chest pain protocol" correctly — and may have harmed the patient.' 'Clinical reasoning isn't following algorithms. It's understanding why each step exists so you can adapt when the standard approach is dangerous.' The outcome (340-400 sec): 'The patient underwent PCI with stent placement to the right coronary artery. Door-to-balloon time: 62 minutes.' The recovery: hemodynamics improved within hours. Troponin peaked at 48 hours and trended down. Discharged day 4 on dual antiplatelet therapy, statin, beta-blocker, and ACE inhibitor. 'She returned to clinic at 6 weeks — asymptomatic, walking 2 miles daily.' Close (400-420 sec): 'The lesson: inferior STEMI with RV involvement. The clinical reasoning: every intervention has contraindications, and the contraindication to nitro in this case is the RV infarct that the right-sided ECG revealed. The right-sided ECG takes 30 seconds. The consequence of skipping it can be fatal.'"

Show full SKILL.md (707 more words)Show less
3. CME Lecture — Evidence-Based Update

"Produce a 5-minute CME lecture updating clinicians on new hypertension guidelines. Opening (0-15 sec): 'The 2026 ACC/AHA hypertension guidelines include three significant changes from the 2023 update. This lecture covers what changed, why, and how it affects your practice.' Change 1 — threshold revision (15-80 sec): 'The treatment threshold for adults 40-65 without comorbidities has moved from 140/90 to 135/85.' Show the evidence: 'The SPRINT follow-up data, published in 2025, showed that intensive treatment to <130 systolic reduced major adverse cardiac events by an additional 12% in the 40-65 cohort — but only when baseline risk exceeded 10% ASCVD.' The nuance: 'The 135/85 threshold applies to moderate-risk patients. High-risk patients (>15% ASCVD) still target <130/80. Low-risk patients (<10%) retain the 140/90 threshold.' Show a decision tree: risk stratification → threshold selection. 'The change adds complexity but reduces overtreatment in low-risk patients and undertreatment in moderate-risk patients.' Change 2 — first-line medication (80-150 sec): 'The guidelines now recommend SGLT2 inhibitors as first-line consideration in hypertensive patients with CKD stage 2-3, regardless of diabetes status.' The evidence: 'EMPA-KIDNEY and DAPA-CKD trials demonstrated renal-protective and cardiovascular benefits independent of glucose-lowering.' 'This represents a shift: SGLT2 inhibitors were previously "consider if diabetic." They're now "consider if CKD" — a broader population.' Practical implications: 'Check renal function. If eGFR 25-75, SGLT2 inhibitor joins ACE/ARB and thiazide as first-line options. Counsel patients about the initial eGFR dip — it's expected and not a reason to discontinue.' Change 3 — home monitoring (150-230 sec): 'The guidelines now formally recommend validated home BP monitoring as superior to office measurement for treatment decisions.' 'The white-coat effect inflates office readings by an average of 12/8 mmHg. Home monitoring captures the readings that actually predict cardiovascular outcomes.' Protocol on screen: 'Two readings, one minute apart, morning and evening, for 7 days. Discard day 1. Average the remaining readings.' 'If home average is >130/80 but office is <140/90: treat. If office is >140/90 but home is <130/80: don't increase medication.' The paradigm shift: 'We're moving from "the number in the office" to "the number in the patient's life." Equip your patients with validated monitors and teach the protocol.' Summary (230-280 sec): the three changes on one slide. '1. Risk-stratified thresholds: 135/85 for moderate risk. 2. SGLT2 inhibitors first-line for CKD. 3. Home monitoring for treatment decisions.' Practice action items: 'Update your hypertension templates. Stock validated home-monitor recommendations. Review CKD patients for SGLT2 eligibility.' Close (280-300 sec): 'These guidelines shift hypertension management toward personalization — treating the patient's risk, not just the number. The evidence supports it. Your practice should reflect it.' CME credit information. References listed."

Parameters

ParameterTypeRequiredDescription
promptstring✅Describe the medical topic, learner level, and educational objective
durationstringTarget length (e.g. "5 min", "6 min", "7 min")
stylestringVideo style: "procedure-demo", "case-study", "cme-lecture", "anatomy-animation", "guideline-summary"
musicstringBackground audio: "clinical-ambient", "none"
formatstringOutput ratio: "16:9", "9:16", "1:1"
clinical_annotationsbooleanShow anatomical labels, ECG annotations, and clinical markers (default: true)
evidence_citationsbooleanDisplay study citations and evidence grades (default: true)

Workflow

  1. Describe — Outline the clinical topic, learner level, and learning objectives
  2. Upload — Add procedure footage, imaging, ECGs, and clinical data
  3. Generate — AI produces the video with clinical annotations and evidence citations
  4. Review — Verify with qualified medical professionals for clinical accuracy
  5. Export — Download in your chosen format

API Example

bash
curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
  -H "Authorization: Bearer $NEMO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "medical-education-video",
    "prompt": "Create 7-minute inferior STEMI case study: 62yo woman with crushing chest pain and hypotension, vital signs analysis, big-five differential ranked by probability and lethality, ECG showing ST elevation II III aVF with reciprocal changes, right-sided ECG confirming RV involvement, nitro contraindication reasoning, volume resuscitation instead, PCI outcome, clinical reasoning chain teaching point",
    "duration": "7 min",
    "style": "case-study",
    "clinical_annotations": true,
    "evidence_citations": true,
    "music": "none",
    "format": "16:9"
  }'

Tips for Best Results

  1. For procedures, show multi-angle views — The ultrasound screen AND the operator's hands simultaneously. The AI layers procedure views with annotations.
  2. For case studies, reveal information sequentially — Present data the way it arrives clinically. The AI structures progressive disclosure.
  3. Cite evidence explicitly — "SPRINT follow-up, NEJM 2025" grounds recommendations. The AI displays citations when evidence_citations is enabled.
  4. Include common errors and their consequences — "Nitro in RV infarct causes collapse" teaches through risk. The AI highlights clinical pitfalls.
  5. Always include a disclaimer — Medical education videos should note they don't replace institutional protocols. The AI includes appropriate disclaimers.

Output Formats

FormatResolutionUse Case
MP4 16:91080p / 4KCME platform / teaching hospital library
MP4 9:161080pMedical social media education
MP4 1:11080pConference presentation / grand rounds
GIF720pProcedure step / ECG annotation

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/medical-education-video of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Medical Education Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Medical Education Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Medical Education Video this skillLeoYeAI/openclaw-master-skills2.2k—~4.1kAutomated safety check: PassMIT
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Paperluwill/research-skills862—~1.9kAutomated safety check: PassNone
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone

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Questions about Medical Education Video

What does Medical Education Video do?

Medical Education Video Maker — Create Clinical Training and CME Videos. Medical Education Video is an agent skill from LeoYeAI/openclaw-master-skills. Medical Education Video Maker — Create Clinical Training and CME Videos.

When should I use Medical Education Video?

Medical Education Video fits situations like: tasks that involve Clinical and healthcare research.

How do I install Medical Education Video in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a claude-code`. Or copy the skill folder (skills/medical-education-video in LeoYeAI/openclaw-master-skills) into .claude/skills/medical-education-video in your project. Claude Code loads it when a task matches its description.

How do I install Medical Education Video in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a codex`. Or copy the skill folder (skills/medical-education-video in LeoYeAI/openclaw-master-skills) into .agents/skills/medical-education-video in your project. Codex loads it when a task matches its description.

Can I use Medical Education Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medical-education-video, .gemini/skills/medical-education-video, .github/skills/medical-education-video and .opencode/skills/medical-education-video in your project.

What does Medical Education Video need to run?

Going by SKILL.md and its folder, Medical Education Video needs the command-line tools its instructions call (curl) and credentials named NEMO_TOKEN. Our summary lists: A credential in NEMO_TOKEN.

Does Medical Education Video access the network?

SKILL.md names 1 domain. In commands or code: mega-api-prod.nemovideo.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Medical Education Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Medical Education Video use?

Medical Education Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Medical Education Video use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Medical Education Video?

Skills that share tags, products or a category with Medical Education Video: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Medical Education Video?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.