AI Agentsacademic-writingagent-skillsbioinformaticsclinical-researchcomputational-biology
Installation
# Add to your Claude Code skills
git clone https://github.com/aipoch/medical-research-skills
README.md
AIPOCH Medical Research Skills
Add Skills. Run Your Research.
500+ Agent Skills for Medical Research · Evidence Insights · Protocol Design · Data Analysis · Academic Writing
⭐ If you find this repository useful, consider giving it a star! It helps more researchers discover Medical Research Agent Skills and supports the continued development of this library.
💡New: We are launching Awesome Med Research Skills — a curated collection of medical research Agent Skills, featuring 102 high-quality skills. Each skill embeds professional medical research logic. Explore here.
🤔 What it is?
AIPOCH is a curated library of 500+ Medical Research Agent Skills 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 Medical Research Skills, and turn it into a capable medical research assistant.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
AIPOCH also introduces Medical Skill Auditor— a structured evaluation framework designed to assess the quality of Medical Research Agent Skills. Its core function is to perform a comprehensive quality check on a Skill before it is officially deployed to users. You can view evaluation results for selected AIPOCH skills here.
What is awesome-med-research-skills?
Awesome Med Research Skills is a curated collection of medical research Agent Skills, currently including 102 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.
🗂️ 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: 500+ and growing
🎬 AIPOCH Medical Research Skills — Demo
🚀 How to Start?
⚙️ Requirements
Host Platform: OpenClaw (installed and running) or any compatible AI Agent framework that supports Skill integration.
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:
Skill Evaluator is a standardized tool designed to assess the quality of Agent Skills. Its core function is to perform a comprehensive quality check on a Skill before it is officially deployed to users.
⚙️How does Medical Skill Auditor Work?
🚫Veto Gates
To enforce strict quality control, Skill Auditor 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.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
