精选 Skills 索引（第 66 页）
按质量分排序的前 8,000 个 Skills，每个都有可收录的独立页面。需要全库 15.8 万条检索时，请使用 Skills 目录。
- Cell-Cell Communication Analysis (CellChat)
✅ **Use when:** - You have an annotated scRNA-seq dataset (Seurat object with cell type labels) - You want to identify ligand-receptor interactions between cell types - You want to visualize communication networks (chord diagrams, bubble p…
- chembl-database
Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
- ChIP-Atlas Diff Analysis
Compare two groups of experiments to identify differential peak regions (DPR) or differentially methylated regions (DMR) using the ChIP-Atlas Diff Analysis API.
- cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For…
- citation-management
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to…
- Clinical Survival & Outcome Analysis
Kaplan-Meier survival estimation, Cox proportional hazards regression, and risk stratification for clinical and real-world evidence (RWE) datasets.
- ClinicalTrials.gov Disease Landscape Scanner
- **Map competitive landscape** across therapeutic mechanisms for any disease - **Track specific mechanism classes** (e.g., anti-IL23, anti-TL1A, JAK inhibitors) - **Identify sponsors** and their pipeline positions by phase - **Phase distr…
- cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
- convergence-study
Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification
- COPYRIGHT NOTICE
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized cop…
- crisis-response-protocol
Handle mental health crisis situations in AI coaching safely. Use when implementing crisis detection, safety protocols, emergency escalation, or suicide prevention features. Activates for crisis
- data-stats-analysis
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
- datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Retu…
- DDI Corpus 2013 – Drug-Drug Interaction Query Skill
| Field | Value | |-------|-------| | **Resource** | DDI Corpus 2013 | | **Category** | Drug-centric / Drug NLP & Text Mining | | **Source** | [GitHub](https://github.com/isegura/DDICorpus) | | **Paper** | [Herrero-Zazo et al., 2013](https…
- deep-research
Execute autonomous multi-step deep research on any topic. Use when the user asks for comprehensive research, literature reviews, competitive analysis, topic deep-dives, or wants to understand a complex subject from multiple angles. Trigger…
- deepchem
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments wi…
- depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and…
- dhdna-profiler
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, a…
- diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
- Disease Progression Trajectory Analysis
Use this skill when you have **longitudinal patient omics data** and want to: - ✅ Reconstruct disease progression trajectories from time-series data - ✅ Order samples by disease stage (pseudotime) with irregular sampling - ✅ Identify bioma…
- doc-coauthoring
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer…
- docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting…
- Edvard I. Moser — 诺贝尔医学奖蒸馏知识库
> **蒸馏引擎：** 女娲 | **蒸馏时间：** 2026-04-06 > **诺奖年份：** 2014年诺贝尔生理学或医学奖（与May-Britt Moser、John O'Keefe共享） > **核心发现：** 大脑内嗅皮层中的网格细胞（Grid Cells）——大脑内置的GPS坐标系
- epidemiologist-analyst
Analyze health events and disease patterns through the disciplinary lens of epidemiology, applying established frameworks (disease surveillance, outbreak investigation, causal inference), multiple methodological approaches (cohort studies,…
- Experimental Design
Comprehensive workflow for statistical experimental design in genomics, from power analysis and sample size determination to batch-balanced experimental layouts and multiple testing strategy.
- exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automa…
- fastq-analysis-pipeline
Guide through omicverse's alignment module for SRA downloading, FASTQ quality control, STAR alignment, gene quantification, and single-cell kallisto/bustools pipelines covering both bulk and single-cell RNA-seq workflows.
- finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
- fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dyn…
- Gary Ruvkun — Distilled Intelligence Profile
> 2024 Nobel Prize in Physiology or Medicine | Harvard Medical School / Mass General Hospital > "for the discovery of microRNA and its role in post-transcriptional gene regulation"
- Gene Regulatory Network Inference (pySCENIC)
Infer gene regulatory networks (GRNs) de novo from single-cell RNA-seq data using pySCENIC. This workflow discovers transcription factor (TF) regulons directly from expression patterns and calculates cell-level TF activity scores.
- geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (univers…
- gsea-enrichment-analysis
Gene set enrichment analysis with correct geneset format handling. Critical guidance for loading pathway databases and running enrichment in OmicVerse.
- gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational ge…
- GWAS to Function via TWAS
Identify genes whose genetically regulated expression is associated with disease risk, determine therapeutic directionality (inhibit vs. activate), and prioritize drug targets with causal genetic evidence using Transcriptome-Wide Associati…
- health-trend-analyzer
分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况，并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化？"时使用。支持多维度分析（体重/BMI、症状、药物依从性、化验结果、情绪睡眠），相关性分析，变化检测，以及交互式HTML可视化报告（ECharts图表）。
- histolab
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advance…
- hmdb-database
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
- hugging-science
Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug disc…
- hypogenic
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights…