What is XDL in the context of the Turing Chemputer?

XDL stands for Chemical Description Language, an XML-based format used to define synthesis protocols that the Chemputer translates into physical hardware instructions.

How does the skill handle different laboratory hardware?

It uses a hardware abstraction layer and a 'Chempiler' to map logical XDL steps to the specific graph of reactors, filters, and separators available in a given lab setup.

Can I use this for retrosynthesis planning?

Yes, the skill integrates with Julia scientific packages and GNN models to predict precursor paths and automatically generate the XDL required to synthesize the target molecule.

Does this skill support conditional chemical reactions?

Yes, it is Turing-complete, allowing it to handle loops, branching, and recursion based on sensor thresholds or specific reaction conditions.

Turing Chemputer

Name: Turing Chemputer
Author: plurigrid

byplurigrid

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データサイエンスとML

Automates programmable chemical synthesis by treating chemical procedures as executable XDL code on modular robotic hardware.

The Turing Chemputer skill enables Claude to coordinate complex chemical synthesis using a 'chemistry as computation' paradigm. By leveraging the Chemical Description Language (XDL), it facilitates the compilation of synthesis protocols into hardware-executable instructions for modular robotic systems. The skill supports Turing-complete operations—including loops, conditionals, and recursion—allowing for adaptive and autonomous lab workflows. It bridges the gap between digital molecular design and physical synthesis by integrating with graph neural networks for retrosynthesis and optimizing hardware paths for maximum yield and efficiency.

主な機能

01XDL (Chemical Description Language) generation and compilation

02Integration with Julia-based molecular graphs and GNN models

032 GitHub stars

04Turing-complete logic for complex, multi-step chemical procedures

05Hardware-agnostic abstraction for modular robotic lab components

06Synthesis graph optimization for time, yield, and hardware utilization

ユースケース

01Converting a standard chemical synthesis protocol into an executable XDL program

02Generating and validating hardware-specific instructions for complex molecular synthesis

03Automating robotic laboratory workflows using sensor-driven conditional branching

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi turing-chemputer

For use in Claude.ai and ChatGPT

Download Skill