ddi

Official

AI-driven drug discovery & research assistant

Authorkongfoo-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates complex drug discovery research by simulating multi-disciplinary expert teams, accelerating the analysis of molecular interactions, risks, and mechanisms, and generating accessible scientific content.

Core Features & Use Cases

  • Multi-Agent Simulation: Instantiates expert agents (pharmacology, bioinformatics, etc.) to collaboratively analyze research questions or drug combinations.
  • Dynamic Knowledge Flow: Precisely allocates molecular structures, biomedical networks, and clinical/textual evidence to relevant agents.
  • Automated Podcast Generation: Produces clear, engaging Chinese dual-host podcasts summarizing complex scientific findings to reduce cognitive load.
  • Use Case: A researcher inputs a novel drug candidate and a disease target; the Skill simulates a team of pharmacologists, toxicologists, and bioinformaticians to analyze its mechanism of action, predict potential side effects, and generate a podcast explaining the findings.

Quick Start

Use the ddi skill to analyze the drug discovery research question "Investigate the potential mechanisms of rapamycin analogs in treating autoimmune diseases".

Dependency Matrix

Required Modules

listenhub

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ddi
Download link: https://github.com/kongfoo-ai/internTA/archive/main.zip#ddi

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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