# Medea Therapeutic Discovery

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

- Skill: `gabrielmoreira/medea-therapeutic-discovery` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/medea-therapeutic-discovery`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/medea-therapeutic-discovery/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- License: MIT
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/medea-therapeutic-discovery

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# Medea Therapeutic Discovery Agent

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**:
```bash
python3 -m medea.agent --dataset breast_cancer_omics.h5ad --mode full_discovery
```