GitHub
transformers
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing...
☆ 26查看技能
部署与运维 AI 技能
发现 部署与运维 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical predi...
☆ 26查看技能
GitHub
context-initialization
Always Auto-invoked skill that creates/updates workspace AGENTS.md to instruct the agent to always search for existing skills before attempting any scientific task.
☆ 26查看技能
GitHub
remembering-conversations
Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search
☆ 26查看技能
GitHub
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical rese...
☆ 26查看技能
GitHub
10x-vision
Strategic amplification mode that reveals blind spots, untapped opportunities, and hidden leverage points in any business strategy, entrepreneurship idea, or creative content project. Cuts through noise to show...
☆ 26查看技能
GitHub
datacommons-client
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, enviro...
☆ 26查看技能
GitHub
umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
☆ 26查看技能
GitHub
flowio
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
☆ 26查看技能
GitHub
pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
☆ 26查看技能
GitHub
exploratory-data-analysis
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
☆ 26查看技能
GitHub
polars
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
☆ 26查看技能
GitHub
scvi-tools
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill...
☆ 26查看技能
GitHub
neurokit2
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electr...
☆ 26查看技能
GitHub
shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (wate...
☆ 26查看技能
GitHub
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
☆ 26查看技能
GitHub
scikit-learn
ML toolkit. Classification, regression, clustering, PCA, preprocessing, pipelines, GridSearch, cross-validation, RandomForest, SVM, for general machine learning workflows.
☆ 26查看技能
GitHub
deepchem
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
☆ 26查看技能
GitHub
torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
☆ 26查看技能
GitHub
get-available-resources
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resourc...
☆ 26查看技能
GitHub
time-resource-estimator
Estimate realistic project timelines, break down hours by feature/phase, include buffer for revisions, set achievable client expectations, and avoid over-promising deadlines you can't meet.
☆ 26查看技能
GitHub
niche-research
Deep market analysis that downloads an entire industry into your brain. Searches forums, Reddit, industry sites, events, and platforms to uncover pain points, language, opportunities, and the perfect software s...
☆ 26查看技能
GitHub
maintenance-support-packages
Build recurring revenue by creating monthly maintenance packages with support SLAs, feature request quotas, and tiered options that turn one-time $15K projects into $15K + $1K/month recurring income.
☆ 26查看技能
GitHub
brainstorming
Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and increm...
☆ 26查看技能
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。