Clinical Trials Database
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
Medical Education Video Maker — Create Clinical Training and CME Videos.
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .claude/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/medical-education-video .agents/skills/medical-education-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .agents/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/medical-education-video .cursor/skills/medical-education-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .cursor/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/medical-education-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/medical-education-video .gemini/skills/medical-education-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .gemini/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/medical-education-video .github/skills/medical-education-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .github/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill medical-education-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills medical-education-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/medical-education-video .opencode/skills/medical-education-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "medical-education-video" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/medical-education-video into .opencode/skills/medical-education-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "medical-education-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
medical-education-videoMedical 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.
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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mega-api-prod.nemovideo.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
NEMO_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,030 words, ~4,087 tokens.
.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.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.
"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.'"
"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.'"
"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."
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | ✅ | Describe the medical topic, learner level, and educational objective |
duration | string | Target length (e.g. "5 min", "6 min", "7 min") | |
style | string | Video style: "procedure-demo", "case-study", "cme-lecture", "anatomy-animation", "guideline-summary" | |
music | string | Background audio: "clinical-ambient", "none" | |
format | string | Output ratio: "16:9", "9:16", "1:1" | |
clinical_annotations | boolean | Show anatomical labels, ECG annotations, and clinical markers (default: true) | |
evidence_citations | boolean | Display study citations and evidence grades (default: true) |
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"
}'| Format | Resolution | Use Case |
|---|---|---|
| MP4 16:9 | 1080p / 4K | CME platform / teaching hospital library |
| MP4 9:16 | 1080p | Medical social media education |
| MP4 1:1 | 1080p | Conference presentation / grand rounds |
| GIF | 720p | Procedure 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
SKILL.md and 1 other file in skills/medical-education-video of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Medical Education Video this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Clinical Trials Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Research Paperluwill/research-skills | 862 | — | ~1.9k | Automated safety check: Pass | None | |
| Research Proposalluwill/research-skills | 862 | — | ~4.5k | Automated safety check: Notes | None |
google-deepmind/science-skills
Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
xjtulyc/MedgeClaw
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
luwill/research-skills
A skill your agent uses when the user asks to write or draft an ORIGINAL RESEARCH ARTICLE — IMRaD paper, conference paper, short/workshop paper, 研究论文/期刊论文/会议论文 — reporting their own completed…
luwill/research-skills
A skill your agent uses when the user asks to write or draft a PhD / doctoral research proposal, research plan, 研究计划书, or 开题报告 — a forward-looking plan of background, gap, research questions…
LeonChaoX/qinyan-academic-skills
Write comprehensive literature reviews for medical imaging AI research.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
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.
Medical Education Video fits situations like: tasks that involve Clinical and healthcare research.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.