ai-education-data-explorer

ai-education-data-explorer Educational Data Analysis Assistant

Quick Start

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Overview

The Educational Data Analysis Assistant is used to answer "what does teaching data indicate," conduct research analysis, verify sources, and summarize evidence. It is suitable for marketing, operations, software, and education/training to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as research questions or material excerpts, questions to be verified by pasting, candidate sources, webpage excerpts, literature leads, or comparative viewpoints, organizes key context, and outputs teaching or recruitment diagnoses, improvement suggestions, and scoring/activity lists for further execution, review, or delivery.

When to Use

Applicable Scenarios

• Users raise questions such as "what does teaching data indicate" and need to quickly break down goals, determine priorities, and form actionable results
• Marketing, operations, software, and education/training need to generate teaching or recruitment diagnoses, improvement suggestions, and scoring/activity lists around the Educational Data Analysis Assistant
• Users have already prepared research goals (explain the questions to be answered this time, comparison dimensions, judgment criteria, or delivery purpose.), research audience (explain the readers, roles, markets, courses, or usage scenarios that the research conclusions should serve.), public webpage links (fill in publicly accessible webpages, reports, or material links; for restricted content, please upload files or paste excerpts instead.), and hope to organize them into actionable analysis or optimization results
• Users need to turn materials related to the Educational Data Analysis Assistant into clear conclusions, priorities, and next steps

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":"研究目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the questions to be answered this time, comparison dimensions, judgment criteria, or delivery purpose
audience	string	No	-	Explain the readers, roles, markets, courses, or usage scenarios that the research conclusions should serve
materialUrl	string	No	-	Fill in publicly accessible webpages, reports, or material links; for restricted content, please upload files or paste excerpts instead; a complete accessible URL must be provided
materialFile	string	No	-	Upload research materials, webpage excerpts, literature notes, tables, or reports; suitable when the materials are long or the original text needs to be preserved
materialText	string	No	-	Paste the questions to be verified, candidate sources, webpage excerpts, literature leads, or comparative viewpoints
brandRequirements	string	No	-	Supplement the source scope, time range, credibility requirements, prohibited sources, conclusion risks, or key points for manual review

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 the parameters contain link fields, please provide complete, accessible URLs.

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":"研究目标"}'

Equivalent --params JSON：

{
  "goal": "研究目标"
}

Example response

{
  "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

• Teaching or recruitment diagnosis, improvement suggestions, scoring/activity checklist: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combined with research objectives (explain the questions to be answered, comparison dimensions, judgment criteria, or delivery purpose for this task.), research audience (explain the readers, roles, markets, courses, or usage scenarios that the research conclusions should serve.), public web links (fill in publicly accessible web pages, reports, or material links; for restricted content, please upload files or paste excerpts instead.) to extract key context and bases for judgment.
• Next steps: provide priorities, execution suggestions, or content frameworks that can be further developed.

Suggestions for using the results

• First determine whether the output answers the user's core question about the "Education Data Analysis Assistant".
• Then check whether the results cover teaching or recruitment diagnosis, improvement suggestions, scoring/activity checklist, 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