機器學習
1913 skills in 數據與 AI > 機器學習
accessible-web-dev
Build WCAG 2.1 AA compliant web applications for University of Sheffield. Covers semantic HTML, ARIA patterns, form accessibility, keyboard navigation, color contrast, alt text, captions, and automated testing. Use when creating websites, web apps, forms, interactive components, or auditing accessibility for WCAG compliance, screen readers, keyboard access, or inclusive design.
mlai-points
Manage MLAI points system - check balance, book coworking, claim tasks, redeem rewards
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
composable-svelte-ssr
Server-side rendering patterns for Composable Svelte. Use when implementing SSR, hydration, server rendering, isomorphic code, or working with meta tags and SEO. Covers renderToHTML, hydrateStore, server-side routing, state serialization, and avoiding common SSR pitfalls.
helm
Kubernetes Helm chart development with values.yaml, templates, and subchart patterns. Triggers on helm, chart, kubernetes, values.yaml.
website-crawler
High-performance web crawler for discovering and mapping website structure. Use when users ask to crawl a website, map site structure, discover pages, find all URLs on a site, analyze link relationships, or generate site reports. Supports sitemap discovery, checkpoint/resume, rate limiting, and HTML report generation.
create-game-assets
Generate game assets (sprites, UI icons, backgrounds, tilesets) using DALL-E 3 from a YAML specification file. Use when user asks to create game art, generate sprites, or make game graphics.
web-to-markdown
Batch-process web pages via headless Playwright browser, extract HTML, convert to markdown using Turndown, and save to timestamped scratchpad file. Use when user asks to "capture these pages as markdown", "save web content", "fetch and convert webpages", or needs clean markdown from HTML. All URLs from one prompt → single file at docs/web-captures/<timestamp>.md.
submodule-health
Ongoing health monitoring and status reporting for CODITECT submodules including git status, symlink integrity, update tracking, and ecosystem-wide dashboards.
visual-testing
Design and implement visual regression testing for UI changes. Definesscreenshot coverage, rendering stabilization, baseline management, and CIintegration (e.g., Playwright screenshots, Percy/Chromatic). Use whenUI/styling/layout changes need protection against regressions, or when addingscreenshot-based tests to a web/WASM/desktop UI.
jira-ticket-estimator
This skill should be used when estimating development time for Jira tickets. It provides both manual and AI-assisted estimates with T-shirt sizes, story points, and phase-by-phase time breakdowns based on task type classification, complexity scoring, and project architecture (monolithic/serverless/frontend/fullstack/mobile/test_automation).
skill-template
Template for creating new Claude Code skills following official specification. Provides structure, YAML frontmatter format, and best practices for skill development.
ai-integration
Integrating AI and LLM capabilities into applications for enhanced functionalities. Use when implementing AI features, processing data with ML models, building generative workflows, or integrating AI APIs.
neuphorism
Create web pages and UI components using the Neuphorism design system—a soft, tactile neumorphic aesthetic with extruded/pressed shadows, muted surface colors, and refined typography. Use when the user requests neuphorism/neumorphic styling, soft UI, or references this design system for any web page, component, dashboard, or application. Framework-agnostic (works with vanilla HTML/CSS, React, Vue, Tailwind, etc.).
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
td-glm
Comprehensive Generalized Linear Model analytics for regression and classification
hist
Use when working with the scikit-hep hist library in Python to create, fill, slice, and plot histograms (1D/2D/multi-axis), including UHI indexing, categorical axes, and mplhep plotting conventions.
component
Patterns for creating components that return VirtualNode data structures. Covers component structure, Props types, HTML wrappers vs custom components, CSS organization, and testing. Use when creating UI components. Includes script for generating component scaffold.
Unnamed Skill
Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision.
frontend-responsive
Design mobile-first responsive layouts using fluid containers, relative units, standard breakpoints, and touch-friendly interfaces that adapt seamlessly across devices from mobile to desktop. Use this skill when implementing responsive designs, media queries, viewport configurations, or testing across screen sizes. Applies to any frontend layout work requiring optimization for mobile phones, tablets, and desktop displays with readable typography and appropriate content prioritization.