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firecrawl-search Business Diagnosis Assistant

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Overview

The Business Diagnosis Assistant is used to answer "how should this be done," web research, public information, and competitive analysis. It is suitable for marketing, operations, product, and sales to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as search snippets and query terms, pasted query terms, search result title summaries, public web page snippets, candidate source descriptions, or research notes, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• Users raise questions like "how should this be done," 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 Diagnosis Assistant
• Users have already prepared search organization goals (for example, source screening, evidence matrix, query plan, topic clustering, or competitive clue organization), retrieval report readers (fill in users such as researchers, content editors, growth teams, sales, product managers, etc.), public result links (fill in public result link lists, search results page metadata, candidate source URLs, or resource page links), and hope to organize them into executable analysis or optimization results
• Users need to turn Business Diagnosis Assistant-related materials into clear conclusions, priorities, and next-step actions

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Examples

Basic Invocation

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

Invocation with Common Parameters

python3 scripts/run.py --params '{"goal":"奥运"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	For example, source screening, evidence matrix, query plan, topic clustering, or competitive clue organization
audience	string	No	-	Fill in users such as researchers, content editors, growth teams, sales, product managers, etc.
materialUrl	string	No	-	Fill in public result link lists, search results page metadata, candidate source URLs, or resource page links; accessible complete URLs are required
reviewDepth	string	No	标准诊断	Choose Quick Source Card, Standard Evidence Brief, or Deep Retrieval Plan; optional values:快速体检、标准诊断、深度改稿
materialFile	string	No	-	Upload search result exports, competitive materials, research notes, PDF, Markdown, CSV, or TXT
materialText	string	No	-	Paste query terms, search result title summaries, public web page snippets, candidate source descriptions, or research notes
targetPlatform	string	No	-	Explain that the results will be used for market research, content topic selection, sales intelligence, knowledge base, competitive monitoring, or other processes
brandRequirements	string	No	-	Supplement source preferences, citation format, brand compliance, prohibited sources, region, or language scope

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

The current skill has no classification parameters that require additional 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":"奥运"}'

Equivalent --params JSON：

{
  "goal": "奥运"
}

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 goal that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine search organization goals (for example, source filtering, evidence matrix, query plan, topic clustering, or competitor lead organization.), retrieval report readers (fill in users such as researchers, content editors, growth teams, sales, product managers, etc.), public result links (fill in a list of public result links, search results page metadata, candidate source URLs, or resource page links.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can continue to be refined.

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 provided.
• If there is little input material, it is recommended to ask the user to supplement the goal, 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