ai-upskilling-training-diagnosis

ai-upskilling-training-diagnosis business diagnosis assistant

Quick Start

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Overview

The business diagnosis assistant is used to answer "how should this be done," AI training, organizational development, and capability gaps. It is suitable for HR, managers, operations, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as training needs description, pasted team goals, role types, current tool usage, pain points, and expected capabilities, organizes key context, and outputs a summary, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• The user asks questions such as "how should this be done" and needs to quickly break down goals, determine priorities, and form executable results
• HR, managers, operations, and software need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnosis assistant
• The user has already prepared organizational learning material links (fill in publicly accessible training plans, competency models, or learning resource links.), uploaded research materials (upload skills surveys, role matrices, training feedback, course schedules, or interview records.), training needs description (paste team goals, role types, current tool usage, pain points, and expected capabilities.), and wants to organize them into executable analysis or optimization results
• The user needs to turn materials related to the business diagnosis assistant into clear conclusions, priorities, and next steps

How to Invoke

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 '{"orgLearningLink":"https://v.douyin.com/xxxxx"}'

Parameter Description

Parameter	Type	Required	Default	Description
orgLearningLink	string	No	-	Fill in publicly accessible training plans, competency models, or learning resource links; an accessible full URL is required
skillSurveyFile	string	No	-	Upload skills surveys, role matrices, training feedback, course schedules, or interview records
trainingNeedText	string	No	-	Paste team goals, role types, current tool usage, pain points, and expected capabilities
teamProfileContext	string	No	-	Describe the department, headcount, roles, business processes, tool permissions, and management goals
currentToolUsageNotes	string	No	-	Supplement with AI tools already used, data restrictions, security requirements, time budget, and learning preferences
trainingDiagnosisFocus	string	No	能力缺口	Select the direction that needs the highest priority in this AI training needs diagnosis; available values:能力缺口、课程模块、实战任务、评估方式

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

Parameter Value Reference

This skill currently has no categorical parameters that require an additional lookup table.

Supported Input Formats

This 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 '{"orgLearningLink":"https://v.douyin.com/xxxxx"}'

Equivalent --params JSON：

{
  "orgLearningLink": "https://v.douyin.com/xxxxx"
}

Example 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
  }
}

Delivery Content

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around user goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine organizational learning resource links (fill in publicly accessible training plans, competency models, or learning resource links.), uploaded research materials (upload skills surveys, job matrices, training feedback, course schedules, or interview records.), and training needs description (paste team goals, job types, current tool usage, pain points, and expected capabilities.) to extract key context and judgment basis.
• 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 questions 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 ask the user to supplement 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