AtomisticSkills — Codex Skill by learningmatter-mit

by learningmatter-mit · Codex Skill · ★ 118

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About AtomisticSkills

AtomisticSkills Overview AtomisticSkills is a composable framework for AI-driven atomistic materials research. Built on the hierarchical decomposition of complex scientific tasks into Workflows → Skills → Tools, it enables coding AI agents to autonomously conduct multi-stage materials, chemistry, and drug discovery research by combining modular, reusable capabilities. The framework integrates state-of-the-art Machine Learning Interatomic Potentials (MLIPs), DFT calculations, generative AI, database APIs, and advanced simulation methods through the Model Context Protocol (MCP) tools and Skills, making advanced materials research accessible to AI copilots like Google Antigravity, Cursor, Claude Code, and OpenAI Codex. 🌐 Documentation Website  |  📄 Preprint 🎬 Video Demo: Using AtomisticSkills in Google Antigravity — Watch on YouTube [](https://www

Quick Facts

Stars118
Forks12
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score63.4426954129754/100
Last Updated2026-06-26
Created2026-01-08
Platformsclaude-code, python
Est. Tokens~16k

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Frequently Asked Questions

What is AtomisticSkills?

AtomisticSkills is Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc). It is categorized as a Codex Skill with 118 GitHub stars.

What programming language is AtomisticSkills written in?

AtomisticSkills is primarily written in Python.

How do I install or use AtomisticSkills?

You can find installation instructions and usage details in the AtomisticSkills GitHub repository at github.com/learningmatter-mit/AtomisticSkills. The project has 118 stars and 12 forks, indicating an active community.

What license does AtomisticSkills use?

AtomisticSkills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to AtomisticSkills?

The top alternatives to AtomisticSkills on Agent Skills Hub include skills, solana-dev-skill, cc-1c-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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