A curated library of 550+ medical research agent skills created by AIPOCH, designed to work with Claude Code, OpenClaw, Hermes Agent, and other AI agents. It supports the research workflow across four core areas: Evidence Insights, Protocol Design, Data Analysis, and Academic Writing. Equip your AI agent with AIPOCH medical research skills, and turn it into a capable medical research assistant.
💡New: We are launching Awesome Med Research Skills — a curated collection of medical research Agent Skills, featuring 140+ high-quality skills. Each skill embeds professional medical research logic. Explore here.
AIPOCH also introduces MedSkillAudit - a domain-specific audit framework for medical research agent skills Try skill-auditor here.
⭐ Star this repo — the library is actively maintained and grows with new skills, improvements, and fixes regularly. Hit the star button to keep it close, stay current with the latest releases, and help more researchers discover Medical Research Agent Skills. Every star directly supports the continued development of this library.
🗂️ Skills Overview
All skills in AIPOCH are originally designed and developed in-house, built to reflect medical research workflows and standards.
The library is primarily organized into five categories: Evidence Insights, Protocol Design, Data Analysis, Academic Writing, and Others.
| 📚Category | Highlights |
|---|---|
| 🔍 Evidence Insight | e.g., search strategy design, database selection, evidence-level prioritization, critical appraisal, literature synthesis and gap identification. |
| 🧪 Protocol Design | e.g., experimental design generation, study type selection, causal inference planning, statistical power calculation, validation strategy. |
| 📊 Data Analysis | e.g., R/Python bioinformatics code generation, statistical modeling, data cleaning pipelines, machine learning workflows, result visualization. |
| ✍️ Academic Writing | e.g., SCI manuscript drafting, methods/results/discussion writing, meta-analysis narrative, cover letters, abstract generation. |
| 🌍 Other (General / Non-Research) | all general skills that do not fall into categories 1–4. |
📌 Total Skills in Library: 554 and growing
The examples below represent selected skills from each category.
Academic Writing
- arXiv Preflight
- Target Journal Matcher
- Reporting Guideline Compliance Checker
- Medical English Precision Editor
Evidence Insights
Literature Discovery
- Biomedical Search Strategy Builder
- Multi-Database Literature Collector
- High-Value Paper Screener
- Preprint Surveillance Finder
Evidence Mapping & Topic Exploration
- Biomarker Landscape Scanner
- Topic Evidence Mapper
- Disease Mechanism Evidence Map
- Drug-Target Evidence Landscape
Scientific Reading & Interpretation
- Study Design Identifier
- Result Reliability Checker
- Figure-First Paper Reader
- Contradictory Findings Resolver
- Paper-to-Claim Verifier
Research Gap Discovery
- Medical Research Gap Finder
- Unmet Clinical Need Extractor
- Population Gap Detector
- Method Gap Detector
Protocol Design
Clinical & Translational Study Design
- Aim and Hypothesis Designer
- Translational Study Blueprint
- Validation Strategy Designer
- Clinical Cohort Protocol Designer
- Real-World Evidence Study Designer
Biomarker, Omics & Genetics Planning
- Prognostic Biomarker Protocol Designer
- Single Cell Research Planner
- Bulk Omics Integrative Planner
- Multi-Omics Clinical Integration Planner
Research Execution Planning
- Inclusion-Exclusion Criteria Builder
- Endpoint Definition Designer
- Sample Size and Power Planning Assistant
- Feasibility-Aware Study Planner
Data Analysis
Differential Expression & Data Processing
- Differential Expression Analysis
- Batch Effect Correction
- Gene-Protein Expression Matrix Normalization
Machine Learning & Feature Selection
- LightGBM-analysis
- XGBoost-analysis
- rf-model-importance-analysis
- decision-tree-analysis
- svm-model-importance-analysis
- Elastic Net Feature Selection
- LASSO Logistic Regression Analysis
Clustering & Dimensionality Reduction
Functional Enrichment & Pathway Analysis
- GO/KEGG Enrichment Analysis and Visualization
- GSEA Analysis and Visualization
- GSVA Analysis and Visualization
Immune Infiltration Analysis
- CIBERSORT Immune Infiltration Analysis
- ESTIMATE Immune Score Analysis
- ssGSEA Immune Infiltration Analysis
- Immune Pathway Analysis
Network Biology & Regulatory Analysis
Survival & Statistical Modeling
- Kaplan-Meier Survival Curve Analysis
- Univariate and Multivariable Cox Regression Analysis
- ROC Diagnostic Performance Analysis
- Nomogram Construction
🚀 How to Start?
⚙️ Requirements
Host Platform: OpenClaw (installed and running) or any compatible AI Agent framework that supports Skill integration.
If you don't have OpenClaw, please follow the official OpenClaw setup guide.
Git: Required for cloning the repository. Git LFS
🦞 Connect with OpenClaw
Method 1:
I'm a human
curl -sL https://aipoch.com/skill.md > ./skills/aipoch.md- Run the command to initialize setup
- Select 'OpenClaw' as your target agent
- Follow the prompts to link your library
I'm an agent
Read https://aipoch.com/skill.md and follow the instructions to join Aipoch- Download the integration guide
- Manually configure your agent's skill path
- Verify the connection in your dashboard
Method 2:
🦞 Install into OpenClaw Plug-in
OpenClaw is a self-hosted AI agent gateway. You can install all AIPOCH skills into OpenClaw with a single command.
macOS / Linux / WSL:
bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh)Windows (Git Bash):
curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh -o /tmp/install.sh
bash /tmp/install.shThe script will:
- Clone this repository into a temporary directory
- Copy all
SKILL.mdskill folders into~/.openclaw/skills/ - Skip any skills that are already installed
After installation, restart your gateway to pick up the new skills:
openclaw gateway restartTip: Run with
--dry-runfirst to preview what will be installed without making any changes.bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh) --dry-run
Note: Skills are installed to
~/.openclaw/skills/by default (visible to all agents). To install into a specific workspace instead, set the environment variable before running:OPENCLAW_SKILLS_DIR=~/.openclaw/workspace/skills bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh)
🎬 AIPOCH Medical Research Skills — Demo
A brief showcase of AIPOCH Medical Research Skills in action across research workflows.
What is Awesome Med Research Skills?
Awesome Med Research Skills is a curated collection of medical research Agent Skills, currently including 140 high-quality skills.
We aim to help researchers more effectively organize questions, connect evidence, and advance research. To achieve this, we encode professional medical research logic into these agent skills:
- Literature authenticity constraints: Implementing hard rules
- Research type identification: We first determine the study type, then execute different logical pathways
- Medical-specific prompt logic
Key Features of Awesome Med Research Skills
Modular Skill Architecture for Team Scaling
- Skills are composable, replaceable, and extensible, suitable for both individual use and team collaboration
- Can be assembled from single-task execution to multi-step workflow pipelines
Built for Real Medical Research Scenarios
- Covers real workflows: topic selection, literature search, study design, writing, graphical abstracts, and more
- Not adapted from generic content templates — designed specifically for medical research contexts.
What is MedSkillAudit?
MedSkillAudit is a domain-specific audit framework for medical research agent skills. Try Skill-Auditor here.
How does MedSkillAudit Work?
Veto Gates
To enforce strict quality control, MedSkillAudit is designed with two layers of veto mechanisms. Any failure in these checks may lead to immediate rejection of a skill.
Skill Veto
- Operational Stability
- Structural Consistency
- Result Determinism
- System Security
Research Veto
- Scientific Integrity
- Practice Boundaries
- Methodological Ground
- Code Usability
Core Capability
Evaluates a skill’s design and contract against key dimensions such as Functional Suitability, Reliability, Performance & Context, Agent Usability, Human Usability, Security, Agent-Specific and Maintainability.
Medical Task
Assesses actual outputs of a skill with layered criteria.
For skill testing, the AI automatically generates inputs. The number of inputs in specific categories will increase or decrease depending on the complexity of the skill. The following 7 inputs represent the most comprehensive version.
- Canonical
- Variant A
- Edge
- Variant B
- Stress
- Scope Boundary
- Adversarial
Skill Complexity Classification
| Label | Code/Rank | Definition |
|---|---|---|
| Simple | S | Narrow task scope |
| Moderate | M | Moderate branching or multiple task types |
| Complex | C | Broad or multi-step specialized skill |
Simple (S): 3 inputs
Moderate (M): 5 inputs
Complex (C): 7 inputs
Final Score
Skills passing both veto gates received a final quality score. The MedSkillAudit uses a two-stage scoring system: static evaluation (design quality, accounting for 40%) and dynamic evaluation (runtime performance, accounting for 60%). The final overall score is derived by combining both.
- Static (40%)
- Dynamic (60%)
Final Score = Static Score × 40% + Dynamic Score × 60%
You can view evaluation results for selected AIPOCH skills here.