Firecrawl Build Search

OrganizationPopular

firecrawl

firecrawl-build-search

Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.

Overview

Publisher	firecrawl
Repository	`firecrawl`
Skill name	`firecrawl-build-search`
Stars	181.6K
Forks	9.8K
Bundled files	Instructions only
License	ISC
Links	Skill source Repository Homepage

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 Build Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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.git /tmp/firecrawl
mkdir -p .claude/skills
cp -r /tmp/firecrawl/skills/firecrawl-build-search .claude/skills/firecrawl-build-search

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firecrawl Build Search 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 Build Search 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 Build Search 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 Build Search

Use this when the application starts with a query, not a URL.

Use This When

the user asks a question and the product must discover sources first
the feature needs current web results
you want to turn a search query into a shortlist of pages for later scraping

Default Recommendations

Use /search first when URL discovery is part of the product behavior.
Keep search and extraction conceptually separate unless scraping search results is clearly required.
Prefer selective follow-up extraction over broad hydration when cost or latency matters.

Common Product Patterns

answer generation with cited sources
company, competitor, or topic discovery
research workflows that produce a shortlist of web pages before deeper extraction
query-to-URL pipelines for later /scrape or /interact

Note that "research workflow" here means discovering web pages. If the product is searching published papers, that is a different surface — see the escalation rules below.

Escalation Rules

If you already have the URL, use firecrawl-build-scrape.
If the result page then requires clicks or form interaction, escalate to firecrawl-build-interact.
If the feature searches published research papers — biomedical, clinical, and life-science literature (PubMed, bioRxiv, medRxiv) or arXiv preprints — /search is the wrong surface. Use the research paper index instead: firecrawl-research-index. Passing categories: ["research"] to /search does not query that index; it filters an ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them — no abstract search, related-paper expansion, or full-text passages.
If the feature answers developer questions from issues, pull requests, READMEs, or documentation pages, use the developer index instead: firecrawl-developer-index. The same caveat applies to categories: ["developer"].

Implementation Notes

Treat /search as discovery, ranking, and source selection.
Be explicit about whether the product needs snippets, URLs, or full result content.
Keep the query contract stable so downstream scraping logic stays predictable.

Docs (Source of Truth)

Read the source-of-truth page for your project language before writing integration code:

Node / TypeScript: docs.firecrawl.dev/agent-source-of-truth/node
Python: docs.firecrawl.dev/agent-source-of-truth/python
Rust: docs.firecrawl.dev/agent-source-of-truth/rust
Java: docs.firecrawl.dev/agent-source-of-truth/java
Elixir: docs.firecrawl.dev/agent-source-of-truth/elixir
cURL / REST: docs.firecrawl.dev/agent-source-of-truth/curl

Frequently asked questions

What does the Firecrawl Build Search AI skill do?

Why use Firecrawl Build Search on TypingMind?

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

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

Which AI models can use Firecrawl Build Search?

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 Build Search?

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

Is the Firecrawl Build Search 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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Firecrawl Build Search

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Firecrawl Build Search

Use This When

Default Recommendations

Common Product Patterns

Escalation Rules

Implementation Notes

Docs (Source of Truth)

See Also

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Firecrawl Build Search

Use This When

Default Recommendations

Common Product Patterns

Escalation Rules

Implementation Notes

Docs (Source of Truth)

See Also

Frequently asked questions

Related AI Skills

Set up your own AI workspace now