---
id: gh-firecrawl-workflows
name: "firecrawl-workflows"
url: https://skills.yangsir.net/skill/gh-firecrawl-workflows
author: firecrawl
domain: automation
tags: ["firecrawl", "workflow-automation", "web-scraping", "data-extraction", "deliverable-generation"]
install_count: 3300
rating: 4.40 (120 reviews)
github: https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-workflows
---

# firecrawl-workflows

> 此技能运行 Firecrawl 工作流，生成结构化的交付物，如研究报告、SEO 审计、潜在客户列表和知识库。它自动化了从网络中提取、分析和综合数据的过程，为业务、营销、产品或创意需求提供可操作的洞察和成果，超越了简单的网页抓取。

**Stats**: 3,300 installs · 4.4/5 (120 reviews)

## Before / After 对比

### 自动化报告生成

**Before**:

手动进行市场调研、SEO 审计或潜在客户数据收集，需要耗费大量时间访问多个网站、手动提取信息并整理成报告，过程繁琐且易出错，通常需要数小时甚至数天。

**After**:

通过 Firecrawl 工作流自动完成网络数据提取、分析和报告生成，大幅缩短交付时间，确保数据结构化和一致性，将复杂报告的生成时间从数小时缩短至数十分钟。

| Metric | Before | After | Change |
|---|---|---|---|
| 报告生成时间 | 8小时 | 0.5小时 | -93.75% |

## Readme

# 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

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

## 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](../../references/workflow-authoring.md).


---
*Source: https://skills.yangsir.net/skill/gh-firecrawl-workflows*
*Markdown mirror: https://skills.yangsir.net/api/skill/gh-firecrawl-workflows/markdown*