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Found 1,410 Skills
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
GraphQL performance optimization and best practices for building scalable APIs. This skill should be used when writing, reviewing, or refactoring GraphQL schemas, resolvers, or query execution code. Triggers on tasks involving GraphQL APIs, resolver optimization, query performance, or data fetching patterns.
This skill has EVERYTHING you need to work with PDFs. Reads, scans, downloads, uploads, creates, modifies, etc. all in one skill.
Ultimate Bug Scanner - Pre-commit static analysis for AI coding workflows. 18 detection categories, 8 languages, 4-layer analysis engine. The AI agent's quality gate.
Use this skill when users need to validate if their business can scale, stress-test their model, or assess bottlenecks. Activates for "can this scale," "validate my business model," "what's my bottleneck," or when planning for growth.
Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale. Triggers: "document translation", "batch translation", "translate documents", "DocumentTranslationClient".
TypeScript CLI starter using tsdown. Use when scaffolding or maintaining an npm CLI package with tsdown, pnpm, Vitest, and npm Trusted Publisher.
Implements Syncfusion Flutter Cartesian Charts (SfCartesianChart) for a wide range of 2D chart types in Flutter apps. Use when working with line, column, bar, area, spline, scatter, bubble, financial, stacked, or histogram charts. This skill covers axis types (NumericAxis, CategoryAxis, DateTimeAxis), zoom and pan, tooltip, trackball, legend, annotations, technical indicators, trendlines, and chart export.