scrapling-official 是做什么的？
使用 Scrapling 库抓取网页，具备反爬虫绕过（如 Cloudflare Turnstile）、无头浏览器隐身模式、爬虫框架、自适应抓取和 JavaScript 渲染功能。适用于需要从网站抓取、爬取或提取数据，web_fetch 失败，网站有反爬保护，需要编写 Python 爬虫代码或爬虫脚本的场景。
使用 Scrapling 库抓取网页，具备反爬虫绕过（如 Cloudflare Turnstile）、无头浏览器隐身模式、爬虫框架、自适应抓取和 JavaScript 渲染功能。适用于需要从网站抓取、爬取或提取数据，web_fetch 失败，网站有反爬保护，需要编写 Python 爬虫代码或爬虫脚本的场景。
该技能通过集成 Scrapling 库，提供了一种强大且灵活的方式来抓取和爬取网页内容。它专门设计用于应对现代网站常见的反爬虫机制，包括 Cloudflare Turnstile 等复杂的挑战，通过隐身无头浏览模式实现绕过。此外，它还内置了蜘蛛（spider）框架，允许开发者编写和管理爬虫脚本，支持自适应抓取策略和 JavaScript 渲染，以处理动态加载的内容。该技能基于详细的 SKILL.md 文档，为 Claude Code、Cursor、Codex 等 AI 代理提供了清晰的指导和最佳实践，使其能够高效、可靠地从目标网站提取数据。
npx skills add https://github.com/d4vinci/scrapling/tree/main/skills/scrapling-officialInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
使用 Scrapling 库抓取网页，具备反爬虫绕过（如 Cloudflare Turnstile）、无头浏览器隐身模式、爬虫框架、自适应抓取和 JavaScript 渲染功能。适用于需要从网站抓取、爬取或提取数据，web_fetch 失败，网站有反爬保护，需要编写 Python 爬虫代码或爬虫脚本的场景。
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.