firecrawl

firecrawl business diagnostic assistant

Quick Start

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Overview

The business diagnostic assistant is used to answer "how should this be done," web research, public information, and competitor analysis. It is suitable for marketing, operations, product, and sales to invoke after clarifying business goals, content materials, or analysis targets. It combines site page inventories, pasted public site introductions, navigation text, page lists, excerpts from multiple pages, or search summaries. It organizes key context and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• Users ask questions like "how should this be done" and need to quickly break down goals, determine priorities, and form executable results
• Marketing, operations, product, and sales need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnostic assistant
• Users have already prepared site research goals (for example, page inventory, information architecture review, field design, competitor research, or subsequent manual collection planning.), research readers (fill in users such as growth teams, researchers, content teams, sales, and product managers.), and public site entry points (fill in site homepages, page list links, sitemap URLs, or linked metad... that can be accessed without logging in), and hope to organize them into executable analysis or optimization results
• Users need to turn materials related to the business diagnostic assistant into clear conclusions, priorities, and next-step actions

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"goal":"站点研究目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	For example, page inventory, information architecture review, field design, competitor research, or subsequent manual collection planning
audience	string	No	-	Fill in users such as growth teams, researchers, content teams, sales, and product managers
materialUrl	string	No	-	Fill in site homepages, page list links, sitemap URLs, or linked metadata that can be accessed without logging in; a complete accessible URL must be provided
reviewDepth	string	No	标准诊断	Choose a quick site card, standard research brief, or deep page map; optional values:快速体检、标准诊断、深度改稿
materialFile	string	No	-	Upload a sitemap, page export, PDF, Markdown, CSV, TXT, or research materials package
materialText	string	No	-	Paste public site introductions, navigation text, page lists, excerpts from multiple pages, or search summaries
targetPlatform	string	No	-	Explain that the results will be used for content strategy, competitor library, knowledge base, sales intelligence, SEO planning, or internal research
brandRequirements	string	No	-	Supplement output style, citation conventions, prohibited expressions, industry terminology, or compliance requirements

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

The current skill has no classification parameters that require additional table lookup.

Supported input formats

The current skill directly accepts JSON parameters; if the parameters include a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"站点研究目标"}'

Equivalent --params JSON：

{
  "goal": "站点研究目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the site research goals (for example, page inventory, information architecture review, field design, competitor research, or subsequent manual collection planning.), research readers (fill in users such as growth teams, researchers, content teams, sales, product managers, etc.), and public site entry points (fill in the site homepage, page list links, sitemap URL, or link metad... that can be accessed without logging in) to extract key context and basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about the "Business Diagnostic Assistant."
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are given.
• If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default