Overview
The Business Diagnosis Assistant is used to answer "how should this be done," question banks, explanations, and teaching research. It is suitable for operations, marketing, education and training, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines question and explanation text, pasted question stems, options, answers, explanations, knowledge points, and common errors. It organizes key context from inputs such as these and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- The user raises questions such as "how should this be done," requiring rapid breakdown of goals, judgment of priorities, and formation of executable results
- Operations, marketing, education and training, and content media need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Business Diagnosis Assistant
- The user has already prepared uploaded question bank files (uploaded question bank tables, exam papers, explanation drafts, wrong-answer records, or annotation tables.), learning stage and exam scenario (specify grade/exam/role, difficulty, question types, target score, and learner foundation.), and scoring standards and criteria (supplement answer basis, scoring rules, knowledge point boundaries, common error points, and prohibited explanations.), and hopes to organize them into executable analysis or optimization results
- The user needs to convert materials related to the Business Diagnosis Assistant 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 Call
python3 scripts/run.py --params '{}'
Call with Common Parameters
python3 scripts/run.py --params '{"questionBankFile":"上传题库文件"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
questionBankFile |
string | No | - | Upload question bank tables, exam papers, explanation drafts, wrong-answer records, or annotation tables |
learnerLevelContext |
string | No | - | Specify grade/exam/role, difficulty, question types, target score, and learner foundation |
gradingStandardNotes |
string | No | - | Supplement answer basis, scoring rules, knowledge point boundaries, common error points, and prohibited explanations |
questionReferenceLink |
string | No | - | Enter publicly accessible exam instructions, knowledge point pages, or reference question links; a complete accessible URL is required |
explanationQualityFocus |
string | No | 答案一致性 |
Select the direction that most needs priority handling in this question bank explanation quality check; optional values:答案一致性、解析清晰、知识点覆盖、易错提醒 |
questionExplanationText |
string | No | - | Paste question stem, options, answer, explanation, knowledge points, and common errors |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
This skill currently has no categorical parameters that require additional table lookup.
Supported Input Formats
This skill directly accepts JSON parameters; if a parameter contains a link field, please provide 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 '{"questionBankFile":"上传题库文件"}'
Equivalent --params JSON：
{
"questionBankFile": "上传题库文件"
}
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
}
}
Delivery Content
- Summary, diagnostic conclusion, 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 the uploaded question bank files (uploaded question bank table, exam papers, analysis drafts, wrong-answer records, or annotation tables.), learning stage and exam scenario (specify grade/exam/position, difficulty, question types, target score, and learner foundation.), scoring standards and criteria (supplement answer basis, scoring rules, knowledge point boundaries, common mistakes, and prohibited explanations.) to extract key context and judgment basis.
- Next steps: provide priorities, execution recommendations, or a content framework that can continue to be processed.
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 conclusion, action recommendations, and reusable deliverables, and whether clear next steps are provided.
- If there are few input materials, it is recommended to have the user supplement goals, audience, constraints, or original materials before running.
Preparation Before Running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault