機器學習

Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.

Creates a backend (adminhtml) controller action in Magento 2 with proper ACL, routing, authorization, and admin UI integration. Use when building admin pages, AJAX endpoints, form handlers, or mass actions.

Route AI/ML tasks to correct Yzmir pack - frameworks, training, RL, LLMs, architectures, production

This skill generates interactive Venn diagram visualizations using the venn.js JavaScript library. Use this skill when users request creating Venn diagrams, set visualizations, overlap diagrams, or comparison charts for educational textbooks. The skill creates complete MicroSim packages with standalone HTML files featuring colorful circles, clear labels, and interactive tooltips, saved to /docs/sims/ following the MicroSim pattern.

This skill generates interactive Chart.js visualizations for use in iframes using any chart type supported by the library (line, bar, pie, doughnut, radar, polar area, bubble, scatter). Use this skill when users need to create data visualizations for educational content, reports, or dashboards. The skill creates complete MicroSim packages with HTML, CSS, and documentation.

When creating a README for a Python package. When preparing a package for PyPI publication. When README renders incorrectly on PyPI. When choosing between README.md and README.rst. When running twine check and seeing rendering errors. When configuring readme field in pyproject.toml.

This skill generates interactive comparison table MicroSims for educational content. Use this skill when users need to create side-by-side comparisons of items with star ratings (1-5 scale), difficulty badges (Easy/Medium/Hard), logos, hover tooltips, and description columns. The skill creates a complete MicroSim package with HTML, CSS, logos directory, index.md documentation, and metadata.json, then updates mkdocs.yml navigation.

Log experiment metrics, parameters, and artifacts using MLflow Python API. Query and analyze runs with DataFrame operations. Use when user mentions "log backtest", "MLflow metrics", "experiment tracking", "log parameters", "search runs", "MLflow query", or needs to record strategy performance.

Write comprehensive tests with emphasis on ALL error paths, edge cases, and regression coverage for code changes

Configure iTerm2 workspace layouts with TOML-based configuration. Use when user mentions iTerm2 layout, workspace tabs, layout.toml, AutoLaunch script, or configuring terminal workspaces.

Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coordination patterns, and Gherkin success criteria. Essential for defining reusable, validated workflow processes.

Comprehensive guide for creating and managing MkDocs documentation projects with Material theme. Includes official CLI command reference with complete parameters and arguments, and mkdocs.yml configuration reference with all available settings and valid values. Use when working with MkDocs projects including site initialization, mkdocs.yml configuration, Material theme customization, plugin integration, or building static documentation sites from Markdown files.

Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or create working code from academic publications. Handles papers from arXiv, NeurIPS, ICML, ICLR, CVPR, and other venues. Produces UV-managed, GPU-ready Python projects with tests, demos, and documentation.

SEO audit for local HTML files. Use when user wants to check SEO, analyze files for search optimization, or mentions SEO review/audit. Scans a directory for HTML files and analyzes meta tags, heading structure, images, links, and technical SEO signals. Provides severity-rated issues with fix suggestions.

Add a research paper to the maxpool research-papers collection. Use when the user provides an ArXiv URL, PDF link, or asks to add/summarize a research paper for the website. Handles paper fetching, insight extraction, HTML generation, and index updates.

Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model-driven optimal designs, active learning, and sequential experimentation; includes pyDOE3, pycse, GPyOpt, scikit-optimize, statsmodels

Guide for creating well-structured Claude Code skills with proper YAML frontmatter, focused descriptions, and supporting files. Use when the user wants to create a new skill, build a custom skill, extend Claude's capabilities, or mentions creating/designing/building skills.

Use when performing regression analysis with confidence intervals, solving ODEs, fitting models to experimental data, or caching expensive scientific computations - provides convenient wrappers around scipy that automatically calculate confidence intervals and prediction bounds for linear, nonlinear, and polynomial regression

Write and run unit tests for WoW addons using Busted and the Mechanic test framework. Covers test structure, mocking WoW APIs, and coverage analysis. Use when adding tests, fixing bugs with regression tests, or improving coverage. Triggers: test, unit test, coverage, Busted, mock, TDD, sandbox.

Expert guidance for mathematical optimization in Python - systematic problem classification, library selection (scipy, pyomo, cvxpy, GEKKO), solver configuration, and implementation patterns for LP, QP, NLP, MIP, convex, and global optimization problems