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cccskills
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firecrawl-knowledge-base

Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.

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firecrawl/skills
설치 방법 보기

포함된 파일(1)

  • SKILL.md2.4 KB

SKILL.md(원문)

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Firecrawl Knowledge Base

Use this to turn URLs or topics into organized LLM-ready content.

Onboarding Interview

Infer the source, goal, depth, and output location from context. If the source and goal are clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the source URL/topic, whether the output is reference/RAG/training/docs, or training format if training is requested.

Firecrawl Collection Plan

Use Firecrawl map for documentation sites, search for topic-based corpora, scrape pages into markdown, and preserve code examples and tables.

For files, follow the Firecrawl download-style convention:

.firecrawl/
  <hostname>/
    <path>/
      index.md

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners:

  • one docs section per researcher
  • official docs, tutorials, community discussions, and references by source type
  • source scraping vs chunk generation vs manifest generation

Output Modes

  • Reference: markdown files, index.md, and sources.json.
  • RAG: markdown files plus chunk files and manifest.json.
  • Training: scraped source files plus training-data.jsonl and training-metadata.json.
  • Docs mirror: complete markdown mirror with a table of contents.

Final Deliverable

# Knowledge Base: [Source]

## Summary
[What was collected and why]

## Output Structure
[Files/directories created]

## Coverage
[Sections, source types, counts]

## Usage Notes
[How to use in RAG, docs, training, or agent context]

## Sources
[URLs collected]

## Rerun Inputs
workflow: firecrawl-knowledge-base
source: [url/topic]
goal: [reference/rag/train/docs]
depth: [quick/thorough/exhaustive]
output_dir: [.firecrawl/]

Quality Bar

  • Preserve code examples and formatting.
  • Remove boilerplate navigation where possible.
  • Include source URLs in frontmatter or metadata.

리뷰

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

firecrawl/skills1312026년 10월 19일 업데이트

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Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

firecrawl/skills1312026년 10월 19일 업데이트

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Find the published business contacts of companies with Firecrawl, whether the user names them or describes them by type and place: press and media, sales, partnerships and support inboxes, shared business phone numbers and official contact forms, taken from the companies' own websites. Use when the user asks how to contact a company or wants published business emails, phone numbers or press, sales, support or partnership contacts, since contact pages change and an address must come from the page, not memory. Not for named people's details (use firecrawl-lead-research) or finding people to reach out to (use firecrawl-lead-gen).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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Extract structured company lists with Firecrawl from any page or site that lists companies: accelerator batches, VC portfolios, member and sponsor lists, marketplaces and app directories, YC, Crunchbase, Product Hunt or G2. Use when the user wants those companies as a CSV, JSON, CRM-ready list or research table, even without an explicit request to scrape.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

firecrawl/skills1312026년 10월 19일 업데이트

firecrawl-competitive-intel

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Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

firecrawl/skills1312026년 10월 19일 업데이트

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