Firecrawl Knowledge Ingest logo

Firecrawl Knowledge Ingest

Organization
firecrawl
firecrawl-knowledge-ingest

Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.

Overview

Publisherfirecrawl
Repositoryfirecrawl-workflows
Skill namefirecrawl-knowledge-ingest
Stars
175
Forks
38
Bundled files
Instructions only
LicenseISC
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by firecrawl on GitHub. Read the source before you install it.

Installation

Install the Firecrawl Knowledge Ingest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-knowledge-ingest
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/firecrawl/firecrawl-workflows.git /tmp/firecrawl-workflows
mkdir -p .claude/skills
cp -r /tmp/firecrawl-workflows/skills/firecrawl-knowledge-ingest .claude/skills/firecrawl-knowledge-ingest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firecrawl Knowledge Ingest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Firecrawl Knowledge Ingest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Firecrawl Knowledge Ingest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Firecrawl Knowledge Ingest

Use this when a docs portal needs browser navigation, auth, pagination, or JS rendering.

Onboarding Interview

Infer the portal URL, output format, auth needs, and page limit from context. If the portal is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the portal URL, whether authentication is required, or the desired output format.

Firecrawl Collection Plan

Use Firecrawl browser to:

  • open the portal and inspect navigation
  • identify sections, categories, sidebar links, and article URLs
  • follow sidebar navigation, next links, pagination, load-more controls, or search
  • scrape article content as markdown
  • extract metadata such as title, section, last updated date, author, and tags

Try Firecrawl map as a supplement for public URLs, but use browser navigation for auth-gated or JS-heavy content.

Final Deliverable

markdown
# Knowledge Ingest: [Portal]

## Summary
[Pages extracted, sections covered, limitations]

## Output
[JSON/markdown/merged file path or content]

## Sections
[Section names and article counts]

## Failed Or Restricted Pages
[Any access/loading issues]

## Sources
[URLs extracted]

## Rerun Inputs
workflow: firecrawl-knowledge-ingest
url: [portal url]
format: [json/markdown/merged]
max_pages: [number]

JSON Shape

Use source, url, extractedAt, totalArticles, and sections[] with article title, url, section, content, and metadata.

Quality Bar

  • Preserve code examples, tables, and formatting.
  • Strip nav chrome, headers, and footers.
  • Track extraction progress and page failures.
  • Respect authentication boundaries.

Frequently asked questions

What does the Firecrawl Knowledge Ingest AI skill do?

Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.

Why use Firecrawl Knowledge Ingest on TypingMind?

Because you install it once and use it with any model. Firecrawl Knowledge Ingest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Firecrawl Knowledge Ingest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-knowledge-ingest. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Firecrawl Knowledge Ingest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Firecrawl Knowledge Ingest?

As many as you like. As long as a model supports skills, you can use Firecrawl Knowledge Ingest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Firecrawl Knowledge Ingest AI skill free?

Yes. It is published on GitHub by firecrawl under the ISC license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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