当用户想要审计、审查或诊断其网站的SEO问题时使用。通过Bright Data CLI使用实时网络数据，准确检测JS注入的Schema、hreflang、Canonical标签以及基于实时SERP的排名检查。
brightdata/seo-audit 是一个专为开发者设计的AI助手技能，用于对网站执行全面的SEO审计。它利用Bright Data CLI从真实浏览器环境中获取实时网页数据，能够精准检测JavaScript动态注入的结构化数据（Schema）、hreflang标签、Canonical标签，并执行基于实时搜索引擎结果页（SERP）的排名检查。该技能支持所有主流AI代理平台（如Claude Code、Cursor、Codex），并通过SKILL.md文档定义触发场景，包括用户提及“SEO审计”、“技术SEO”、“排名下降”、“页面速度”、“核心网页指标”等关键词时自动启动审计流程。它还提供与其他相关技能的明确边界：大规模建站优化请参考programmatic-seo，结构化数据实现请参考schema-markup，AI搜索优化请参考ai-seo。使用此技能，用户可以获得从技术诊断到排名分析的端到端SEO健康检查，帮助快速定位索引问题、爬虫错误或Google算法更新带来的影响。
npx skills add https://github.com/brightdata/skills/tree/main/skills/seo-auditInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
当用户想要审计、审查或诊断其网站的SEO问题时使用。通过Bright Data CLI使用实时网络数据，准确检测JS注入的Schema、hreflang、Canonical标签以及基于实时SERP的排名检查。当用户提到“SEO审计”、“技术SEO”、“为什么没有排名”、“SEO问题”、“页面内SEO”、“元标签审查”、“SEO健康检查”、“我的流量下降了”、“失去排名”、“没有出现在Google中”、“网站没有排名”、“Google更新影响了我”、“页面速度”、“核心网页指标”、“爬虫错误”或“索引问题”时也使用。即使用户只是含糊地说“我的SEO很差”或“帮我做SEO”，也应使用此技能——从审计开始。如需大规模构建页面以定位关键词，请参阅programmatic-seo。如需实现结构化数据，请参阅schema-markup。如需AI搜索优化，请参阅ai-seo。
This repo contains 3 individual skills — each has its own dedicated page.
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.
Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, etc.) and to `search` when URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors