firecrawl-build-scrape 是做什么的？
将 Firecrawl /scrape 集成到产品代码中，实现单页内容提取。适用于已有 URL 并需要 Markdown、HTML、链接、截图、元数据或结构化页面输出的场景。优先使用此技能，而非更广泛的爬取模式。
将 Firecrawl `/scrape` 集成到产品代码中，实现单页内容提取。适用于已有 URL 并需要 Markdown、HTML、链接、截图、元数据或结构化页面输出的场景。优先使用此技能，而非更广泛的爬取模式。
此技能旨在帮助开发者将 Firecrawl 的 `/scrape` API 端点集成到其产品代码中，专注于单页面数据提取。它非常适合那些已经拥有特定 URL 并需要将页面内容转换为结构化格式（如 Markdown、HTML、JSON）或提取元数据、截图和链接的应用场景。与全站爬取技能不同，此技能更轻量、更精确，专为页面级功能设计。它支持多种平台，包括 Node.js、Python、cURL 等，并提供了清晰的代码示例来指导集成。通过使用此技能，开发者可以快速实现从网页中提取所需信息的功能，而无需处理复杂的爬虫逻辑。
npx skills add https://github.com/firecrawl/skills/tree/main/skills/firecrawl-build-scrapeInstalled? 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 →
将 Firecrawl /scrape 集成到产品代码中，实现单页内容提取。适用于已有 URL 并需要 Markdown、HTML、链接、截图、元数据或结构化页面输出的场景。优先使用此技能，而非更广泛的爬取模式。
This repo contains 4 individual skills — each has its own dedicated page.
Integrate Firecrawl `/interact` into product code for dynamic pages and browser actions after scraping. Use when a feature needs clicks, form fills, pagination, authentication-aware flows, or other multi-step interactions that plain `/scrape` cannot complete.
Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.
Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.
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.