Machine Learning

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.

Screenshot-based regression testing with Playwright. Compares rendered pixels against baseline PNGs. Use when working with stories, *.visual.spec.ts files, or baseline screenshots. Auto-apply when editing files in stories/ or *.visual.spec.ts.

Guide users on when to use Claude Code Web vs CLI and seamlessly teleport sessions between environments

Aplicar reglas consistentes de YAML frontmatter en Obsidian: un bloque, claves estándar, fechas YYYY-MM-DD, tags en lista, comillas cuando proceda.

Ensure iOS/iPadOS-friendly form inputs (keyboard type, inputmode, autocomplete, autocapitalize/autocorrect, enterkeyhint) when editing or reviewing UI forms in web apps. Use when adding or modifying form fields (Svelte/HTML/TSX/etc.), auditing form UX, or fixing mobile Safari keyboard issues.

Parse memory.yaml and consolidate recurring patterns into skills. Use when memory.yaml grows large, when patterns recur 3+ times, or during RSID Ideate stage. Automates the memory-to-skill pipeline.

Fast Python package and project management using Astral's uv. Use when installing packages, managing virtual environments, running Python scripts, or initializing Python projects. Triggers on: pyproject.toml, requirements.txt, Python dependency discussions, virtual environment setup.

본 문서는 수 십개의 작은 사각형으로 글씨를 만드는 JavaScript 코드를 생성하는 개발 지침을 제공합니다. 텍스트를 화면에 표시 할 때, 일반 벡터 텍스트를 그대로 쓰지 않고, 수십 개의 작은 정사각형(픽셀)을 격자 형태로 찍어 "Hello, World! It's sure bright out here!" 문자열을 표현합니다. 브라우저에서 바로 실행 가능한 순수 HTML+JavaScript 예제를 만듭니다.

Extract prose patterns like "Key: Value" or "Key: [[wikilink]]" and promote them to YAML frontmatter. Triggers on "promote to frontmatter", "extract frontmatter", "prose to yaml".

容器化配置生成器，为各类应用生成优化的Dockerfile、docker-compose.yml和Kubernetes配置，支持多阶段构建、安全扫描建议、云原生最佳实践，助力应用快速容器化部署。

Creates, analyzes, updates, and improves slash commands including YAML frontmatter, argument handling, and command authoring workflows. Use when user asks how slash commands work, explaining command syntax and arguments, understanding command structure, describing command vs skill differences, asked to create a new slash command, evaluate existing commands for improvements, optimize commands for effectiveness, suggest converting current logic into a command, update outdated command information, or when user mentions command validation, best practices, or supporting files.

Analyzes and processes images using Claude's vision capabilities. Supports OCR, image classification, diagram comparison, chart analysis, visual Q&A, and more. Use when users need to understand, extract, or analyze visual content.

Comprehensive guide for Render.com deployment and infrastructure management. Use when deploying apps to Render, configuring render.yaml Blueprints, managing web services/workers/cron jobs, setting up Postgres or Key Value datastores, configuring preview environments for PRs, or automating CI/CD with the Render CLI. Includes templates and validation scripts for common deployment patterns.

Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.

Validate Dokploy templates against conventions: YAML syntax, network structure, health checks, environment variables, security patterns, and quality standards.

Writes or updates memory files with proper YAML frontmatter in the agent's memories directory. Use when saving new project learnings or updating existing memory files.

WCAG standards, ARIA, semantic HTML, and building inclusive web experiences.

Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management.

pnpm workspace YAML configuration templates and validation logic for monorepo workspace patterns. Includes 5 required standards (architecture-specific patterns for consumer vs library repos, exact path matching, no missing directories, no extra patterns, alphabetical ordering). Critical distinction between consumer repos (specific paths like packages/contracts/*) and library repos (broad patterns like packages/*). Use when creating or auditing pnpm-workspace.yaml files.

Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.