Medea Therapeutic Discovery Agent

SkillAI & models

An AI agent for therapeutic discovery that executes transparent, multi-step omics analyses including research planning, code execution, and literature reasoning.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Medea Therapeutic Discovery Agent skill

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/medea-therapeutic-discovery/SKILL.md and read by ahel’s review.

Medea is a multi-stage AI agent designed for therapeutic discovery, modeled after 2026 state-of-the-art open source architectures. It executes transparent, multi-step omics analyses.

When to Use This Skill

  • "Run multi-omics therapeutic discovery pipeline"
  • "Analyze omics data for novel drug targets using Medea"
  • "Perform literature reasoning and consensus reconciliation for target X"

Core Capabilities

  1. Research Planning: Formulates step-by-step omics analysis plans.
  2. Code Execution: Generates and executes Python/R scripts for data processing.
  3. Literature Reasoning: Retrieves and synthesizes current literature.
  4. Consensus Stage: Reconciles experimental evidence with literature to propose high-confidence targets.

Workflow

  1. Step 1: Initialize Medea agent with target disease or omics dataset.
  2. Step 2: Execute the multi-stage pipeline across planning, coding, literature review, and consensus validation.

Example Usage

User: "Run Medea analysis on the provided breast cancer multi-omics dataset."

Agent Action:

python3 -m medea.agent --dataset breast_cancer_omics.h5ad --mode full_discovery
Advanced
Item type
skill
Key
medea-therapeutic-discovery
Source
github.com/freedomintelligence/openclaw-medical-skills