firecrawl-workflows

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Use this when the user wants a finished deliverable powered by Firecrawl, not only raw web extraction and not product-code integration.

当用户需要由Firecrawl生成的完整交付物，而非仅原始网页提取或产品代码集成时，可使用此功能。

Use firecrawl-website-design-clone to extract a website's colors, fonts, spacing, components, and layout patterns into an agent-ready
```
DESIGN.md
```
.
Use firecrawl-deep-research for sourced multi-source research reports.
Use firecrawl-seo-audit for site structure, on-page SEO, keyword, and SERP audits.
Use firecrawl-lead-research for pre-meeting company/person intelligence briefs.
Use firecrawl-qa for live-site QA testing and bug reports.
Use firecrawl-competitive-intel for recurring pricing, feature, and changelog monitoring.
Use firecrawl-company-directories for directory extraction into company lists.
Use firecrawl-dashboard-reporting for dashboard metrics extraction.
Use firecrawl-knowledge-base for LLM-ready docs, RAG chunks, training data, or docs mirrors.
Use firecrawl-knowledge-ingest for auth-gated or JS-heavy docs portal ingestion.
Use firecrawl-lead-gen for prospect list generation.
Use firecrawl-market-research for market, financial, and industry research.
Use firecrawl-research-papers for literature reviews from papers, PDFs, and whitepapers.
Use firecrawl-demo-walkthrough for product flow walkthroughs and UX teardown reports.
Use firecrawl-shop for product research and shopping recommendations.

If no existing workflow fits, use this generic process and produce a reusable pattern that could become a new skill.

使用firecrawl-website-design-clone提取网站的颜色、字体、间距、组件和布局模式，生成可供Agent使用的
```
DESIGN.md
```
文件。
使用firecrawl-deep-research生成多来源引用的深度研究报告。
使用firecrawl-seo-audit进行网站结构、页面SEO、关键词及SERP审计。
使用firecrawl-lead-research生成会前公司/人物情报简报。
使用firecrawl-qa进行在线网站QA测试并生成Bug报告。
使用firecrawl-competitive-intel进行定期定价、功能及更新日志监控。
使用firecrawl-company-directories从目录中提取信息生成企业列表。
使用firecrawl-dashboard-reporting提取仪表盘指标数据。
使用firecrawl-knowledge-base生成适配LLM的文档、RAG片段、训练数据或文档镜像。
使用firecrawl-knowledge-ingest处理需要权限验证或JS渲染的文档门户内容。
使用firecrawl-lead-gen生成潜在客户列表。
使用firecrawl-market-research进行市场、财务及行业研究。
使用firecrawl-research-papers基于论文、PDF及白皮书生成文献综述。
使用firecrawl-demo-walkthrough生成产品流程演示及UX拆解报告。
使用firecrawl-shop进行产品研究并生成购物推荐。

如果现有工作流均不适用，请使用以下通用流程，并生成可复用的模式，该模式可成为新的Skill。

Infer the workflow, inputs, audience, and output format from the user's request and surrounding context. If enough is clear, start immediately.

Ask at most 1-3 concise clarifying questions only when a missing input would block the work, such as:

Use the host agent's normal way to ask clarifying questions. Do not depend on a harness-specific function name.

从用户的请求及上下文推断工作流、输入信息、受众及输出格式。若信息足够明确，可立即启动工作。

仅当缺失的输入会阻碍工作开展时，最多提出1-3个简洁的澄清问题，例如：

使用宿主Agent的常规方式提出澄清问题，无需依赖特定的工具函数名称。

Confirm the workflow and final artifact.
Collect web evidence with Firecrawl through the CLI or equivalent Firecrawl tool surface.
Save or cite source evidence so the final claims are traceable.
Run independent research units in parallel when available.
Synthesize findings into the requested deliverable.
Include a short "rerun inputs" block when the workflow could be automated.

If appropriate, use sub-agents or equivalent parallel task runners for independent units such as:

Keep the handoff generic: provide the unit of work, source URLs or search terms, expected extracted fields, and output format.

若合适，使用子Agent或等效的并行任务运行器处理独立单元，例如：

交接方式保持通用：提供工作单元、来源URL或搜索词、预期提取字段及输出格式。

Every workflow should return:

For authoring new workflow skills, see workflow-authoring.md.

每个工作流应返回：

如需创作新的工作流Skill，请参阅workflow-authoring.md。