Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: drug-repurposing

英語版ディレクトリ

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
信頼
カテゴリ: data-analysis監査

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

90K
Stars
80/100
信頼
カテゴリ: design-creative監査

Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include "method validation", "analytical method validation", "AMV", "validation protocol", "acceptance criteria", "linearity", "reportable range", "accuracy and precision", "repeatability", "intermediate precision", "recovery", "LOD", "LOQ", "detection limit", "quantitation limit", "specificity", "robustness", "method transfer", "method comparison", "Deming", "Passing-Bablok", "Bland-Altman", "equivalence testing", "OOS investigation", "ICH Q2", "Q2(R2)", "Q14", "USP 1225", "ICH M10", "incurred sample reanalysis", "ISR", "CLSI EP", and any request to show that an assay works.

34K
Stars
67/100
信頼
カテゴリ: research監査

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

1.2K
Stars
72/100
信頼
カテゴリ: geo-science監査

197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

208
Stars
67/100
信頼
カテゴリ: geo-science監査

🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph

134
Stars
66/100
信頼
カテゴリ: rag-knowledge監査

Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.

22
Stars
65/100
信頼
カテゴリ: utility監査

Curated collection of 39 agent skills for healthcare and life sciences workflows, installable via the Agent Skills standard.

10
Stars
66/100
信頼
カテゴリ: research監査

Content Repurposing Engine for Claude Code. Turn 1 piece of content into 10+ platform-optimized posts for Twitter, LinkedIn, Instagram, Facebook, YouTube, Skool, Reddit, and newsletters.

135
Stars
69/100
信頼
カテゴリ: growth-marketing監査

A curated collection of reusable AI agent skills for Israeli government APIs, covering data queries, address validation, benefits, company lookup, drugs, and education.

10
Stars
65/100
信頼
カテゴリ: utility監査

A knowledge graph and a set of tools for drug repurposing

694
Stars
63/100
信頼
カテゴリ: rag-knowledge監査

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

120
Stars
62/100
信頼
カテゴリ: robotics-iot監査