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: molecular-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

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

2.4K
Stars
83/100
Kepercayaan
Kategori: rag-knowledgeAudit

A comprehensive library for computational molecular biology

958
Stars
71/100
Kepercayaan
Kategori: geo-scienceAudit

Working with molecular structures in pandas DataFrames

752
Stars
69/100
Kepercayaan
Kategori: geo-scienceAudit

Scikit-learn compatible library for molecular fingerprints and chemoinformatics

377
Stars
68/100
Kepercayaan
Kategori: geo-scienceAudit

Open-source data lakehouse for biology. Query, trace & validate with a lineage-native lakehouse that supports bio-formats, registries & ontologies. ๐ŸŠYC S22

271
Stars
70/100
Kepercayaan
Kategori: devopsAudit

Python package for graph neural networks in chemistry and biology

805
Stars
63/100
Kepercayaan
Kategori: geo-scienceAudit

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

284
Stars
62/100
Kepercayaan
Kategori: ml-automationAudit

Parallel divergent ideation โ€” spawns N isolated generator agents under different cognitive frames (regulator, biology, speedrunner, 10-year-old, zero-budget), then a critic pass scores, clusters, prunes traps, and deepens the top 3. Use for open-ended design, architecture, naming, API/SDK surface, and fuzzy debugging where the obvious answer is expensive to get wrong. Triggers "/adhd", "adhd mode", "brainstorm", "ideate", "widen the option space", "divergent ideas", "we keep landing on the same idea". Skip for lookups, syntax, bugs with a known root cause, or closed phrasing ("quick", "standard", "canonical", "textbook"). Use /oracle compare to evaluate options you already have โ€” adhd generates the option space; use /plan-ceo-review to challenge whether to build at all.

42
Stars
66/100
Kepercayaan
Kategori: design-creativeAudit

Deep learning meets molecular dynamics.

190
Stars
60/100
Kepercayaan
Kategori: data-analysisAudit

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