Firecrawl knowledge base

Skill firecrawl/firecrawl-workflows/skills/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.From its SKILL.md

Install

npx -y skills add firecrawl/firecrawl-workflows --skill firecrawl-knowledge-base

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its file declares

Copied from the file, not written here

The file declares its own license as ISC. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.4 KB, as published. Nobody here has run it

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.