An AI-driven organometallic catalyst recommendation and novel ligand design engine for drug synthesis reactions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pharmaclaw-catalyst-design
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pharmaclaw-catalyst-design using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The PharmaClaw Catalyst Design agent is a specialized tool within the Openclaw Skills ecosystem designed for medicinal and process chemists. It bridges the gap between retrosynthetic planning and bench execution by providing high-precision recommendations for organometallic catalysts and ligand scaffolds. By leveraging a curated database and RDKit-driven molecular modifications, it helps researchers identify the best Pd, Ru, or Ni systems for complex cross-coupling and hydrogenation reactions.
This skill is particularly valuable for accelerating the discovery of novel chemical space. It does not just find existing solutions; it actively designs new ligand variants by applying steric, electronic, and bioisosteric modifications. As part of a larger AI agent workflow, it ensures that every proposed synthesis step is backed by optimized reaction conditions and patentable molecular designs.
To integrate this capability into your workflow, ensure RDKit is installed and configure the local environment:
pip install rdkit-pypi
# Navigate to the skill directory
cd pharmaclaw-catalyst-design
# Test the recommendation engine with a sample reaction
python scripts/catalyst_recommend.py --reaction suzuki
The skill organizes chemical data and results using the following structures:
| Data Component | Format | Description |
|---|---|---|
| Catalyst Database | JSON | Contains 12+ catalysts with properties, cost ratings, and reaction compatibility. |
| Ligand Scaffolds | SMILES/Aliases | Pre-defined aliases (PPh3, PCy3, dppe) for quick design iteration. |
| Scoring Output | Weighted 0-100 | Ranks catalysts based on 7 distinct technical and economic parameters. |
| Design Variants | SMILES + Images | Generated molecular structures for electronic and steric ligand modifications. |
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