Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: chemistry

Direktori bahasa Inggris

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

33K
Stars
88/100
Kepercayaan
Kategori: data-analysisAudit

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
Kepercayaan
Kategori: utilityAudit

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

3.3K
Stars
84/100
Kepercayaan
Kategori: ml-automationAudit

A collection of 34 installable agent skills for running computational-chemistry workflows in OpenClaw, with clear documentation and a DOI citation.

128
Stars
80/100
Kepercayaan
Kategori: researchAudit
Cdk71

The Chemistry Development Kit

585
Stars
71/100
Kepercayaan
Kategori: geo-scienceAudit

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

176
Stars
67/100
Kepercayaan
Kategori: data-analysisAudit

Agentic framework for computational chemistry and materials science workflows

122
Stars
68/100
Kepercayaan
Kategori: agent-frameworksAudit

Python package for graph neural networks in chemistry and biology

805
Stars
63/100
Kepercayaan
Kategori: geo-scienceAudit

Use when user needs academic diagrams, methodology figures, statistical plots, or presentation slides from text descriptions or data files. Also use for evaluating generated figures against references.

47
Stars
59/100
Kepercayaan
Kategori: data-analysisAudit