ddi
OfficialAI-driven drug discovery & research assistant
Education & Research#bioinformatics#drug discovery#risk assessment#pharmacology#multi-agent analysis#mechanism of action#scientific podcast
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.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.