interview-question-scorecard-generator

interview-question-scorecard-generator business diagnostic assistant

Quick Start

More Skills

Overview

The business diagnostic assistant is used to answer “how should this be done,” interviews, scorecards, and hiring, and is suitable for HR, managers, operations, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines interview requirement descriptions, pasted job requirements, competency items, interview rounds, candidate levels, and assessment priorities. It organizes key context and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or deliver.

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 executable results
• HR, managers, operations, and software need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnostic assistant
• Users have already prepared generation priorities (select the direction that most needs priority handling for this interview question and scorecard generation.), scoring rules and constraints (add scoring levels, elimination items, sensitive question prohibitions, and manual review requirements.), and uploaded interview materials (upload job profiles, competency models, historical question banks, interview records, or scoring templates.), and want to organize them into executable analysis or optimization results
• Users need to turn business diagnostic assistant-related materials into clear conclusions, priorities, and next actions

How to Invoke

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

Command Example

Basic Call

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

Call with Common Parameters

python3 scripts/run.py --params '{"scorecardFocus":"行为问题"}'

Parameter Description

Parameter	Type	Required	Default	Description
scorecardFocus	string	No	行为问题	Select the direction that most needs priority handling for this interview question and scorecard generation; optional values:行为问题、案例题、评分锚点、追问清单
scoringRuleNotes	string	No	-	Add scoring levels, elimination items, sensitive question prohibitions, and manual review requirements
interviewGuideFile	string	No	-	Upload job profiles, competency models, historical question banks, interview records, or scoring templates
competencyModelLink	string	No	-	Enter publicly accessible competency model, job description, or interview process links; a complete accessible URL is required
roleInterviewContext	string	No	-	Describe the role, level, business line, interview duration, interviewer role, and round objectives
interviewRequirementText	string	No	-	Paste job requirements, competency items, interview rounds, candidate levels, and assessment priorities

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

Parameter Value Reference

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

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 '{"scorecardFocus":"行为问题"}'

Equivalent --params JSON：

{
  "scorecardFocus": "行为问题"
}

Example of returned 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 generation focus (select the direction that most needs priority handling for this interview question and scorecard generation.), scoring rules and constraints (supplement scoring levels, disqualification items, sensitive question prohibitions, and manual review requirements.), and uploaded interview materials (upload the job profile, competency model, historical question bank, interview records, or scoring template.) to extract key context and judgment basis.
• 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 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