firecrawl-workflows

作者: firecrawl

執行以成果為導向的 Firecrawl 工作流程,產出研究報告、SEO 稽核、QA 報告、潛在客戶清單、知識庫、網站設計系統及其他結構化網頁資料成品。當使用者希望 Firecrawl 完成商業、行銷、產品或創意工作流程,而非僅抓取頁面或將 API 呼叫整合至程式碼時使用。

npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-workflows

Firecrawl Workflows

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

Choose The Workflow

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

Required Intake

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:

  • the URL, company, topic, or source to analyze
  • the desired deliverable or output format
  • a constraint that would materially change the workflow

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

Default Process

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

Parallel Work

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

  • one competitor per researcher
  • one URL or page per researcher
  • one source category per researcher
  • one analysis dimension per reviewer

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

Deliverable Standards

Every workflow should return:

  • a concise executive summary
  • the evidence base used
  • the analysis or artifact requested by the user
  • recommendations or next actions when useful
  • automation inputs for reruns

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

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