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medea-therapeutic-discovery
Maintainer FreedomIntelligence · Last updated April 1, 2026
An AI agent for therapeutic discovery that executes transparent, multi-step omics analyses including research planning, code execution, and literature reasoning.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/medea-therapeutic-discovery
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- Run multi-omics therapeutic discovery pipeline.
- Analyze omics data for novel drug targets using Medea.
- Perform literature reasoning and consensus reconciliation for target X.
- Run multi-omics therapeutic discovery pipeline" "Analyze omics data for novel drug targets using Medea" * "Perform literature reasoning and consensus reconciliation for target X.
Source Doc
Excerpt From SKILL.md
Core Capabilities
- Research Planning: Formulates step-by-step omics analysis plans.
- Code Execution: Generates and executes Python/R scripts for data processing.
- Literature Reasoning: Retrieves and synthesizes current literature.
- Consensus Stage: Reconciles experimental evidence with literature to propose high-confidence targets.
Workflow
- Step 1: Initialize Medea agent with target disease or omics dataset.
- 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:
Use cases
- Run multi-omics therapeutic discovery pipeline.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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