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Found 3,129 Skills
Python package for working with DICOM files. It allows you to read, modify, and write DICOM data in a Pythonic way. Essential for medical imaging processing, clinical data extraction, and AI in radiology.
Setup Sentry in Python apps. Use when asked to add Sentry to Python, install sentry-sdk, or configure error monitoring for Python applications, Django, Flask, FastAPI.
Analyze Rspack/Webpack bundles from local Rsdoctor build data without MCP. Zero-dependency JS CLI for chunk/module/package/loader insights.
Configures and uses next-intl for Next.js App Router with locale-based routing. Use when adding or changing i18n, locale routing, translations, next-intl plugin, middleware/proxy, or message files in Next.js App Router projects.
Integration patterns for Mapbox Maps SDK on iOS with Swift, SwiftUI, UIKit, lifecycle management, and mobile optimization best practices.
Create non-technical documentation for project features in the docs/ folder. Use when documenting completed features, writing feature documentation, explaining how features work, or when the user asks to document the project or create docs for non-developers.
Expert guidance on map design principles, color theory, visual hierarchy, typography, and cartographic best practices for creating effective and beautiful maps with Mapbox. Use when designing map styles, choosing colors, or making cartographic decisions.
Diagnose book marketing copy problems and generate platform-optimized blurbs, descriptions, taglines, and query pitches. Use when marketing copy feels weak, when descriptions aren't converting, or when starting marketing from scratch.
Use when designing multi-tenant OCI environments, setting up production landing zones, implementing compartment hierarchies, or establishing governance foundations. Covers Landing Zone reference architectures, compartment strategy, network topology patterns (hub-spoke vs multi-VCN), IAM structure, tagging standards, and cost segregation.
Required methodology for planning, ideating, and delivering features or tasks. Use when user asks to "plan", "break down", "continue", or "figure out steps".
Materialize documentation for SQL syntax, data ingestion, concepts, and best practices. Use when users ask about Materialize queries, sources, sinks, views, or clusters.
Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.