Firecrawl Agent logo

Firecrawl Agent

Organization
firecrawl
firecrawl-agent

Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.

Overview

Publisherfirecrawl
Repositorycli
Skill namefirecrawl-agent
Stars
642
Forks
110
Bundled files
Instructions only
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 Agent 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/cli/tree/main/skills/firecrawl-agent
  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/cli.git /tmp/cli
mkdir -p .claude/skills
cp -r /tmp/cli/skills/firecrawl-agent .claude/skills/firecrawl-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firecrawl Agent 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 Agent 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 Agent 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 agent

AI-powered autonomous extraction. The agent navigates sites and extracts structured data (takes 2-5 minutes).

Before starting autonomous extraction for structured records or listings, check firecrawl search alexandria '<data you need>' for a ready-made workflow or data provider. Inspect a matching contract with firecrawl list <provider> <capability> --pretty and execute with firecrawl scrape --alexandria <provider>/<capability> --options '<input JSON>' if it covers the task. Use the exact provider, capability, and input fields from that contract. Continue with Agent when no suitable tool exists or the task requires autonomous navigation.

Quick start

bash
# Extract structured data
firecrawl agent "extract all pricing tiers" --wait --json -o .firecrawl/pricing.json

# With a JSON schema for structured output
firecrawl agent "extract products" --schema '{"type":"object","properties":{"name":{"type":"string"},"price":{"type":"number"}}}' --wait --json -o .firecrawl/products.json

# Focus on specific pages
firecrawl agent "get feature list" --urls "<url>" --wait --json -o .firecrawl/features.json

Run firecrawl agent --help for the full option list.

Done when: the output file contains valid JSON answering the request — or a job ID was intentionally returned for later polling.

Job IDs

Omitting --wait returns a job ID. A UUID positional argument is auto-detected as a status check:

bash
# Check once (equivalent to adding --status)
firecrawl agent "<job-id>"

# Wait on an existing job, polling every 10 seconds for up to 5 minutes
firecrawl agent "<job-id>" --wait --poll-interval 10 --timeout 300

# Cancel an active job
firecrawl agent "<job-id>" --cancel

Tips

  • Use --wait for inline results; omit it only when you want a job ID to poll later (see Job IDs).
  • Use --schema for predictable, structured output — otherwise the agent returns freeform data.
  • Agent runs consume more credits than simple scrapes. Use --max-credits to cap spending.
  • For simple single-page extraction, prefer scrape — it's faster and cheaper.

See also

Alexandria session feedback

To report an Alexandria session outcome or a provider/capability gap, use firecrawl alexandria feedback --rating good|partial|bad --url <website> --requested-functionality '<what was needed>' --objective '<the underlying goal of the task>' --rationale '<what happened>' --json. Use observed results in the rationale. No job ID is needed; this session feedback has no job-age deadline and no credit refund. Optional --provider-feedback and --capability-feedback JSON arrays describe specific gaps; inspect firecrawl alexandria feedback --help for their fields. Use the capability issue missing_capability when a provider exists but lacks the needed capability, and new_capability_request (with requestedFunctionality) to ask for one.

Frequently asked questions

What does the Firecrawl Agent AI skill do?

Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.

Why use Firecrawl Agent on TypingMind?

Because you install it once and use it with any model. Firecrawl Agent 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 Agent in TypingMind?

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

Which AI models can use Firecrawl Agent?

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 Agent?

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

Is the Firecrawl Agent AI skill free?

It is published on GitHub by firecrawl. Check the repository for licensing terms. 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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