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Found 3,526 Skills
X/Twitter CLI tool for reading tweets, threads, replies, searching, managing bookmarks, and fetching news/trending topics. Use when the user needs to read tweets, search X/Twitter content, get user timelines, fetch bookmarks, or retrieve trending news from the command line. Supports cookie-based authentication from Safari or Chrome.
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.
Provides comprehensive guidance for Lime ECharts including chart creation, configuration, data visualization, and interactive charts. Use when the user asks about Lime ECharts, needs to create charts, visualize data, or work with ECharts features.
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.
Use this skill to send a message over Discord to the operator
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.
Manage GitHub via GitHub CLI (gh): repos, issues, pull requests, Actions, releases, secrets/variables, projects, gists, searches, and API access. Auto-activates on: "gh", "github cli", "github issue", "github pr", "pull request", "github actions", "workflow", "run", "github release", "release", "gh api", "github repo", "github secret", "github variable", "ci status", "monitor ci", "check ci", "watch ci", "pr dashboard", "pr overview", "open prs", "my prs", "pr status".