firecrawl-workflows
このスキルは、Firecrawlワークフローを実行し、調査レポート、SEO監査、リードリスト、ナレッジベースなどの構造化された成果物を生成します。単なるウェブスクレイピングを超え、ビジネス、マーケティング、製品、またはクリエイティブなニーズに対応する実用的な洞察と成果物を提供するため、ウェブデータの抽出、分析、合成プロセスを自動化します。
git clone https://github.com/firecrawl/firecrawl-workflows.gitBefore / After 効果比較
1 组市場調査、SEO監査、またはリードデータ収集を手動で行う場合、複数のウェブサイトを訪問し、情報を手動で抽出し、レポートにまとめるのに多大な時間がかかり、エラーも発生しやすいため、通常数時間から数日を要します。
Firecrawlワークフローを通じてウェブデータの抽出、分析、レポート生成を自動化することで、納品時間を大幅に短縮し、構造化された一貫性のあるデータを保証します。複雑なレポートの生成時間を数時間から数分に短縮します。
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 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.
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
- 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.
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.
ユーザーレビュー (0)
レビューを書く
レビューなし
統計データ
ユーザー評価
この Skill を評価