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: computational-biology

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

Create beautiful, publication-quality books and documents from computational content.

4.3K
Stars
85/100
Kepercayaan
Kategori: document-processingAudit

A DSL for data-driven computational pipelines

3.4K
Stars
77/100
Kepercayaan
Kategori: geo-scienceAudit

NMA Computational Neuroscience course

3.1K
Stars
80/100
Kepercayaan
Kategori: ml-automationAudit

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

2.8K
Stars
75/100
Kepercayaan
Kategori: educationAudit

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

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

11K
Stars
71/100
Kepercayaan
Kategori: ml-automationAudit

Papers on Computational Advertising

4.4K
Stars
70/100
Kepercayaan
Kategori: ml-automationAudit

A comprehensive library for computational molecular biology

958
Stars
71/100
Kepercayaan
Kategori: geo-scienceAudit

Open finite element infrastructure for nonlinear computational mechanics.

181
Stars
70/100
Kepercayaan
Kategori: geo-scienceAudit

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

382
Stars
70/100
Kepercayaan
Kategori: media-automationAudit