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Found 3,129 Skills
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
A Just-In-Time (JIT) compiler for Python that translates a subset of Python and NumPy code into fast machine code. Developed by Anaconda, Inc. Highly effective for accelerating loops, custom mathematical functions, and complex numerical algorithms. Use for @njit, @vectorize, prange, cuda.jit, numba.typed, JIT compilation, parallel loops, GPU acceleration with CUDA, Monte Carlo simulations, numerical algorithms, and high-performance Python computing.
Audit and improve JavaScript/TypeScript documentation including JSDoc comments (@param, @returns, @template, @example), comment markers (TODO, FIXME, HACK), and code comment quality. Use when asked to 'add JSDoc', 'document this function', 'audit documentation', 'fix comments', 'add TODO/FIXME markers', or 'improve code documentation'.
Monitor Nx Cloud CI pipeline and handle self-healing fixes automatically. Checks for Nx Cloud connection before starting.
Comprehensive guide for MDAnalysis - the Python library for analyzing molecular dynamics trajectories. Use for trajectory loading, RMSD/RMSF calculations, distance/angle/dihedral analysis, atom selections, hydrogen bonds, solvent accessible surface area, protein structure analysis, membrane analysis, and integration with Biopython. Essential for MD simulation analysis.
Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology.
Dual skill for deploying scientific models. FastAPI provides a high-performance, asynchronous web framework for building APIs with automatic documentation. Streamlit enables rapid creation of interactive data applications and dashboards directly from Python scripts. Load when working with web APIs, model serving, REST endpoints, interactive dashboards, data visualization UIs, scientific app deployment, async web frameworks, Pydantic validation, uvicorn, or building production-ready scientific tools.
Generate comprehensive release notes and changelogs. Compiles version history, feature descriptions, and breaking changes from commit information.
Production-grade Helm 4 chart development, release management, and debugging. This skill should be used when users ask to create Helm charts, deploy with Helm, manage releases (install/upgrade/rollback), push charts to OCI registries, debug failed deployments, configure chart dependencies, create umbrella charts, set up GitOps with ArgoCD/Flux, or troubleshoot Helm issues. Auto-detects from Dockerfile/code, generates production-hardened charts with library patterns. Complements kubernetes skill.
Expertise in Go programming according to the Google Go Style Guide. Use when the user needs to write, refactor, or review Go code for clarity, simplicity, and maintainability. This skill ensures adherence to Google's official Go idioms, formatting, and the "Least Mechanism" principle.
Setup Sentry in React Native using the wizard CLI. Use when asked to add Sentry to React Native, install @sentry/react-native, or configure error monitoring for React Native or Expo apps.
This skill should be used when the user asks to "connect to Trading 212", "authenticate Trading 212 API", "place a trade", "buy stock", "sell shares", "place market order",, "place pending order", "place limit order", "cancel order", "check my balance", "view account summary", "get positions", "view portfolio", "check P&L", "find ticker symbol", "search instruments", "check trading hours", "view dividends", "get order history", "export transactions", "generate CSV report", or needs guidance on Trading 212 API authentication, order placement, position monitoring, account information, instrument lookup, or historical data retrieval.