В каталоге 182 820 навыков в 14 категориях.
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Re...
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity...
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or ru...
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology a...
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery inc...
Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivi...
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditi...
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual scre...
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence,...
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations includi...
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for traini...
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regio...
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore...
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity s...
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing....
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMIL...
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and...
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sort...
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients,...
This skill should be used for time series machine learning tasks including classification, regression, clustering, forec...
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics ana...
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular...
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SM...
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publicat...
Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity m...
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom...
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecula...
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprin...
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill w...
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATA...
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), crea...
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomic...
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning,...
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSC...
Automatically summarize scientific podcasts like Huberman Lab and Nature Podcast
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel trainin...
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR corre...
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. T...
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posteri...
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT,...
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, pr...
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production wor...
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, deco...
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), cl...
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ord...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), un...
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning...
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining mac...
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for s...
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with det...
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation task...
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug dis...
This skill should be used when working with pre-trained transformer models for natural language processing, computer vis...
Advanced research - complex analysis and ML (Opus-tier)
生物数据工具包。序列分析、比对、系统发育树、多样性度量(alpha/beta, UniFrac)、排序(PCoA)、PERMANOVA、FASTA/Newick I/O，用于微生物组分析。
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-valida...
Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML p...
Master scikit-learn machine learning patterns including pipeline design, cross-validation, hyperparameter tuning, featur...
(ePost) Use when you need to "find files", "search the codebase", "locate a pattern", "explore the repo", or "what exist...
[Investigation] Use external agentic tools to scout given directories
Use ScrapeGraphAI for AI-powered web scraping and structured information extraction from websites and documents. Prefer...
使用 scrapling 进行网页抓取和数据提取。根据目标网站特征自动选择最佳 Fetcher， 生成并执行 Python 脚本完成任务。Use when: (1) 抓取/爬取网页内容或数据（scrape, crawl, fetch pag...
Working memory for thinking out loud.
A menu-bar capture studio for clipping the current screen into clean prompts, tickets, or handoffs.
Search screen and audio history recorded by Screenpipe and optionally save selected context into claude-mem. Use when th...
Synthesize repeated themes from selected research conversations or notes.
Create a shareable recap of selected Screenpipe activity while minimizing private details.
Reconstruct a daily or weekly worklog from observed activity and outcomes.
Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process...
Load single-cell TCR-seq or scBCR-seq data from various formats into a scRepertoire-compatible object. This process read...
Design and maintain small, high-signal scripts where deterministic local orchestration feeds a configurable coding-agent...
Best practices for bundling scripts in skills including error handling, constants documentation, and execution patterns....
Autonomous fix-verify workflow for Script Kit GPUI. Use when fixing bugs, making changes, or completing tasks. Covers th...
Hive/beads task management for Script Kit agents. Use when working with the issue tracking system, managing beads, or co...
Model Context Protocol (MCP) implementation for Script Kit. Use when working with MCP server, JSON-RPC 2.0 protocol, kit...
Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomi...
Comprehensive metabolic landscape analysis pipeline for scRNA-seq data. This is an all-in-one process group performing c...
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajector...
LinearSCVI (a scvi-tools variant with a linear decoder) on raw scRNA-seq counts, giving continuous signed gene-to-factor...
MrVI from scvi-tools — multi-resolution variational inference for multi-donor scRNA-seq, modeling sample identity as bio...
研究 codex 使用 skill 生成 survey 這件事
单细胞组学深度生成模型。当需要概率批次校正(scVI)、迁移学习、带不确定性的差异表达或多模态集成(TOTALVI, MultiVI)时使用。最适合高级建模、批次效应、多模态数据。标准分析管道请使用scanpy。
Execute a spec-driven feature's implementation phase while syncing taskmaster status after each task or batch, so the ta...
Optimizes user prompts for Seedance 2.0 multi-modal video generation. Invoke when a user provides an initial prompt or m...
Pha 0 SDD — khám phá ngữ cảnh và tạo .sdd/features/{feature-slug}/CONTEXT.md
Lưu trạng thái feature dở dang, cập nhật TASKS.md và tạo handoff report cho phiên sau
Khôi phục ngữ cảnh feature dở dang từ TASKS.md, SPEC.md và Architecture Profile