¿Qué hace computer-vision-opencv?
Guía experta para el desarrollo de visión artificial utilizando OpenCV, PyTorch y técnicas modernas de aprendizaje profundo para el procesamiento de imágenes y videos.
Guía experta para el desarrollo de visión artificial utilizando OpenCV, PyTorch y técnicas modernas de aprendizaje profundo para el procesamiento de imágenes y videos.
Este skill proporciona orientación experta en el desarrollo de sistemas de visión artificial, combinando el poder de OpenCV para procesamiento clásico de imágenes y PyTorch para modelos de aprendizaje profundo. Es ideal para desarrolladores e investigadores que trabajan en tareas como detección de objetos, segmentación semántica, reconocimiento facial, análisis de video en tiempo real y clasificación de imágenes. Compatible con múltiples plataformas (CLI, entornos notebook, pipelines CI/CD), el skill ofrece ejemplos de código listos para usar, mejores prácticas de optimización y documentación detallada. Aprovecha técnicas modernas como redes convolucionales, transformers visuales y modelos pre-entrenados para acelerar el desarrollo. El skill está diseñado para integrarse sin problemas con agentes de IA como Claude Code, Cursor y Codex, permitiendo a los usuarios recibir asistencia directa en implementaciones complejas de visión artificial. Incluye guías para configuración de entornos, manejo de dependencias (CUDA, OpenCV-Python, TorchVision) y flujos de trabajo típicos como carga de datos, preprocesamiento, entrenamiento, evaluación y despliegue de modelos.
npx skills add https://github.com/mindrally/skills/tree/main/skills/computer-vision-opencvGuía experta para el desarrollo de visión artificial utilizando OpenCV, PyTorch y técnicas modernas de aprendizaje profundo para el procesamiento de imágenes y videos.
This repo contains 20 individual skills — each has its own dedicated page.
Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.
Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices. Use when building browser extensions, creating popup UIs, implementing content scripts, working with Chrome APIs, managing extension permissions, or publishing to Chrome Web Store.
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Expert in Expo React Native TypeScript mobile development with best practices
Expert in FastAPI Python development with best practices for APIs and async operations
Expert guidelines for building performant animations with Framer Motion/Motion library in React applications
HTMX development guidelines for building dynamic web applications with minimal JavaScript using HTML attributes.
Guidelines for implementing JWT authentication with security best practices for token creation, validation, and storage
Machine learning development with JAX, functional programming patterns, and high-performance computing.
MySQL development best practices for schema design, query optimization, and database administration
Expert in TypeScript, Node.js, Next.js App Router, React, Shadcn UI, Radix UI and Tailwind
Full-stack Next.js 14 development with TypeScript, TailwindCSS, and Supabase for building production-ready web applications.
Expert guidance for Odoo ERP development including Python ORM, XML views, and module architecture
Expert guidance for browser automation using Puppeteer with best practices for web scraping, testing, screenshot capture, and JavaScript execution in headless Chrome.
Redis development best practices for caching, data structures, and high-performance key-value operations
Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.
SCSS/Sassy CSS best practices and coding guidelines for maintainable, scalable stylesheets
Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases
Expert in web scraping and data extraction with Python tools
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.