This skill allows applications to discover sources when starting with queries instead of URLs. It is designed for features needing current web results and helps turn search queries into a shortlist of pages for later scraping.
$ npx skills add https://github.com/firecrawl/skills --skill firecrawl-build-searchFirecrawl Build Search is a skill that enables AI agents and applications to integrate Firecrawl's /search endpoint for discovery-first web workflows. Instead of starting with known URLs, this skill helps agents search the web and obtain a curated list of relevant pages ready for later scraping or processing. It's designed for applications that need current web results and sources without pre-existing URLs. The skill follows Agent Skills format and works with Claude Code, Cursor, and other AI coding agents, providing a streamlined path to add web discovery capabilities to production codebases.
Install using the command specified in the installation section.
When a user asks a question and sources must be discovered first
When current web results are required for a feature
To convert a search query into a shortlist of pages for scraping
$ npx skills add https://github.com/firecrawl/skills --skill firecrawl-build-searchgit clone https://github.com/firecrawl/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Find the top 5 most relevant web pages for the query '[QUERY]' in the [INDUSTRY] sector. Return only the URLs, titles, and a one-sentence summary for each page. Prioritize authoritative sources like official documentation, industry reports, or reputable news outlets. Ignore social media, forums, or low-quality aggregators.
### Top 5 Web Pages for "AI-powered customer support trends 2024" 1. **URL**: https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-state-of-ai-in-2024 **Title**: *The State of AI in 2024 | McKinsey* **Summary**: McKinsey’s annual report on AI adoption trends, including customer support automation statistics. 2. **URL**: https://www.forrester.com/report/The+State+Of+AI+In+Customer+Service+2024/-/E-RES183420 **Title**: *The State of AI in Customer Service, 2024 | Forrester* **Summary**: Forrester’s research on AI-driven customer support tools and their ROI in enterprise settings. 3. **URL**: https://www.gartner.com/en/articles/top-trends-in-artificial-intelligence-for-2024 **Title**: *Top Trends in Artificial Intelligence for 2024 | Gartner* **Summary**: Gartner’s analysis of emerging AI trends, with a section on chatbots and virtual assistants. 4. **URL**: https://hbr.org/2024/01/how-ai-is-transforming-customer-service **Title**: *How AI Is Transforming Customer Service | Harvard Business Review* **Summary**: HBR explores case studies of companies using AI to reduce response times and improve satisfaction. 5. **URL**: https://www.deloitte.com/us/en/insights/focus/tech-trends/2024/artificial-intelligence-in-customer-experience.html **Title**: *AI in Customer Experience: 2024 Tech Trends Report | Deloitte* **Summary**: Deloitte’s breakdown of AI applications in CX, including predictive analytics and self-service tools.
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