medical-literature-evidence-map

medical-literature-evidence-map Business Diagnostic Assistant

Quick Start

More Skills

Overview

The business diagnostic assistant is used to answer "how should this be done," medical literature, evidence maps, and research assistance, and is suitable for operations, marketing, healthcare, and education and training to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as literature summaries and questions, pasted research questions, PICO, literature abstracts, conclusion excerpts, or evidence excerpts, organizes the 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 such as "how should this be done" and need to quickly break down goals, determine priorities, and form actionable results
• Operations, marketing, healthcare, and education and training need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnostic assistant
• Users have already prepared key points (select the direction that needs the highest priority in this medical literature evidence map.), search result links (fill in publicly accessible PubMed, journal, guideline, or database search links.), inclusion and exclusion criteria and evidence limitations (add time range, study type, exclusion conditions, language restrictions, and bias concerns.), and hope to organize them into actionable analysis or optimization results
• Users need to turn business diagnostic assistant-related materials into clear conclusions, priorities, and next steps

How to Call

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

Command Examples

Basic Call

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

Call with Common Parameters

python3 scripts/run.py --params '{"evidenceMapFocus":"证据分层"}'

Parameter Description

Parameter	Type	Required	Default	Description
evidenceMapFocus	string	No	证据分层	Select the direction that needs the highest priority in this medical literature evidence map; optional values:证据分层、研究差异、结论边界、待补文献
literatureSearchLink	string	No	-	Fill in publicly accessible PubMed, journal, guideline, or database search links; a complete accessible URL is required
inclusionCriteriaNotes	string	No	-	Add time range, study type, exclusion conditions, language restrictions, and bias concerns
literatureEvidenceFile	string	No	-	Upload a literature list, abstract export, evidence table, or reading notes
literatureAbstractsText	string	No	-	Paste research questions, PICO, literature abstracts, conclusion excerpts, or evidence excerpts
researchQuestionContext	string	No	-	Explain the disease/intervention/population/outcome, internal reporting, or content support purpose

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

Parameter Value Reference

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

Supported Input Formats

The current skill directly accepts JSON parameters; if a parameter contains a link field, 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 '{"evidenceMapFocus":"证据分层"}'

Equivalent --params JSON：

{
  "evidenceMapFocus": "证据分层"
}

Example of returned results

{
  "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 that can be directly read, reviewed, or delivered around the user's goals.
• Interpretation of input materials: extract key context and judgment basis by combining the organization focus (choose the direction that needs to be prioritized most in this medical literature evidence map.), search result links (fill in publicly accessible PubMed, journal, guideline, or database search links.), inclusion and exclusion criteria and evidence limitations (supplement the time range, study types, exclusion conditions, language restrictions, and bias concerns.).
• Next steps: provide priorities, execution recommendations, or a content framework that can continue to be developed.

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 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