Bright Data CLI（`bdata scrape`）を使用して、WebコンテンツをクリーンなMarkdown/HTML/JSONとしてスクレイピングします。
このスキルは、Bright Data CLI の `bdata scrape` コマンドを利用して、任意のWebページのコンテンツをMarkdown、HTML、またはJSON形式で抽出するためのものです。開発者は、URLリストの一括取得やページネーションを含むリストページのクロールを簡潔に実行できます。Amazon、LinkedIn、TikTok、Instagram、YouTube、Redditなど、Bright Dataが公式にサポートするプラットフォームについては、`data-feeds` スキルに自動的にハンドオフします。また、URL自体が不明な場合は `search` スキルを呼び出して事前にURLを発見します。CLIがインストールされていない場合やログインが必要な場合は、ユーザーを積極的にガイドします。
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Bright Data CLI（bdata scrape）を使用して、WebコンテンツをクリーンなMarkdown/HTML/JSONとしてスクレイピングします。ユーザーがページを取得したい場合、複数のURLからコンテンツを抽出したい場合、またはページネーションのあるリストをクロールしたい場合に使用します。Amazon、LinkedIn、TikTok、Instagram、YouTube、Redditなどのサポート対象プラットフォームについては data-feeds にハンドオフし、URLを事前に発見する必要がある場合は search にハンドオフします。Bright Data CLIが必要であり、インストールやログインが不足している場合は積極的にガイドします。
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.
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.