Créez des intégrations Bright Data prêtes pour la production avec des bonnes pratiques intégrées. Documentation de référence pour les développeurs utilisant des assistants de codage (Claude Code, Cursor, etc.) pour implémenter le web scraping, la recherche, l'automatisation de navigateur et l'extraction structurée de données. Couvre les API Web Unlocker, SERP, Web Scraper et Browser (Scraping Browser).
Cette compétence guide les développeurs et les agents IA dans la création d'intégrations robustes avec la plateforme Bright Data, en mettant l'accent sur les bonnes pratiques de production. Elle sert de documentation de référence pour les assistants de codage comme Claude Code ou Cursor, couvrant quatre API principales : Web Unlocker (déblocage de sites), SERP (résultats de moteurs de recherche), Web Scraper (extraction web structurée) et Browser (automatisation de navigateur). L'objectif est d'aider à implémenter des solutions fiables pour le web scraping, la recherche en ligne, l'automatisation de navigateur et l'extraction de données structurées, en évitant les pièges courants et en respectant les meilleures pratiques de l'industrie. Les développeurs peuvent ainsi construire des intégrations efficaces et maintenables avec Bright Data.
npx skills add https://github.com/brightdata/skills/tree/main/skills/bright-data-best-practicesInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Créez des intégrations Bright Data prêtes pour la production avec des bonnes pratiques intégrées. Documentation de référence pour les développeurs utilisant des assistants de codage (Claude Code, Cursor, etc.) pour implémenter le web scraping, la recherche, l'automatisation de navigateur et l'extraction structurée de données. Couvre les API Web Unlocker, SERP, Web Scraper et Browser (Scraping Browser).
This repo contains 3 individual skills — each has its own dedicated page.
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.
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.