使用 Bright Data CLI（`brightdata` / `bdata`）抓取网页、搜索网络、从 40+ 平台提取结构化数据、管理代理区域以及检查账户余额的指南。
这个技能为开发者提供了使用 Bright Data CLI（`brightdata` 或 `bdata`）从终端进行网页数据采集的完整指南。它支持抓取单个 URL、通过 SERP API 搜索 Google/Bing/Yandex，以及从 Amazon、LinkedIn、Instagram、TikTok、YouTube、Reddit 等超过 40 个平台提取结构化数据。此外，该技能还包含管理代理区域、检查账户余额和预算的功能。当用户提到 brightdata、bdata、网页抓取 CLI、SERP API 或者需要将 Bright Data 技能集成到编码代理中时，应自动触发该技能。该技能适用于 Claude Code、Cursor、Codex 等 AI 代理，帮助用户高效地完成从终端进行的数据采集任务。
npx skills add https://github.com/brightdata/skills/tree/main/skills/brightdata-cliInstalled? 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 Bright Data CLI（brightdata / bdata）抓取网页、搜索网络、从 40+ 平台提取结构化数据、管理代理区域以及检查账户余额的指南。当用户想要抓取一个 URL、搜索 Google/Bing/Yandex、从 Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit 或任何其他平台提取数据、检查其 Bright Data 余额或区域，或执行任何涉及从终端进行网络数据采集的操作时，请使用此技能。当用户提到 brightdata、bdata、网页抓取 CLI、SERP API 或想要将 Bright Data 技能安装到其编码代理中时，也请触发此技能。
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).
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.
When the user wants to audit, review, or diagnose SEO issues on their site. Uses live web data via the Bright Data CLI for accurate detection of JS-injected schema, hreflang, canonicals, and live SERP-based ranking checks. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For implementing structured data, see schema-markup. For AI search optimization, see ai-seo.
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.