Conseils d'expert pour construire des scrappers et crawlers web en utilisant le framework Python Scrapy, avec les meilleures pratiques pour le développement de spiders, l'extraction de données et la gestion des pipelines.
Cette compétence fournit des conseils d'expert pour la création de scrappers et crawlers web avec le framework Python Scrapy. Elle couvre les meilleures pratiques pour le développement de spiders, l'extraction de données via les sélecteurs CSS et XPath, et la gestion des pipelines de traitement. Idéale pour les développeurs utilisant des outils d'IA comme Claude Code, Cursor ou Codex, cette compétence permet de rationaliser la collecte de données structurées à partir de sites web, en intégrant des techniques robustes pour gérer les paginations, les formulaires et les middlewares. Basée sur une documentation technique détaillée, elle assure une implémentation efficace et maintenable des projets de scraping.
npx skills add https://github.com/mindrally/skills/tree/main/skills/scrapy-web-scrapingInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Conseils d'expert pour construire des scrappers et crawlers web en utilisant le framework Python Scrapy avec les meilleures pratiques pour le développement de spiders, l'extraction de données et la gestion des pipelines.
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 computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
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
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
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.