firecrawl-build-search 是做什么的？
将 Firecrawl /search 集成到产品代码和智能体工作流中。适用于应用需要先发现再提取的场景、功能以查询而非 URL 为起点的情况，或系统需要搜索网络并可选择性地充实结果内容。
将 Firecrawl `/search` 集成到产品代码和智能体工作流中。适用于应用需要先发现再提取的场景、功能以查询而非 URL 为起点的情况，或系统需要搜索网络并可选择性地充实结果内容的场景。
该技能旨在帮助开发者将 Firecrawl 的 `/search` 端点无缝集成到产品代码和 AI 智能体工作流中。它适用于需要先进行在线搜索发现（例如查询“最新AI趋势”）再进行内容提取的流程，当功能以用户查询而非特定 URL 为起点时尤为有用。该技能支持 Firecrawl 平台，能够执行网络搜索并可选地充实搜索结果的内容（例如提取页面正文摘要），从而生成结构化的数据。其工作方式基于 Firecrawl 的 `/search` API，开发者可以通过简单的 HTTP 请求或相应的 SDK 调用，将搜索能力快速整合到 Python、Node.js 等环境的应用中，为后续的 URL 爬取或其他处理步骤提供输入。
npx skills add https://github.com/firecrawl/skills/tree/main/skills/firecrawl-build-searchInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
将 Firecrawl /search 集成到产品代码和智能体工作流中。适用于应用需要先发现再提取的场景、功能以查询而非 URL 为起点的情况，或系统需要搜索网络并可选择性地充实结果内容。
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 `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.
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.
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