ai-educational-research-methods

ai-educational-research-methods Educational Research Methods Assistant

Quick Start

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Overview

The Educational Research Methods Assistant is used to answer "Is the research method chosen correctly?", research analysis, source verification, and evidence summaries. It is suitable for marketing, operations, software, and education and training to call after clarifying business objectives, content materials, or analysis targets. It combines inputs such as research questions or data excerpts, pasted questions to be verified, candidate sources, webpage excerpts, literature leads, or comparative viewpoints, organizes key context, and outputs teaching or recruitment diagnoses, improvement suggestions, and scoring/activity lists, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• Users raise questions such as "Is the research method chosen correctly?" and need to quickly break down objectives, determine priorities, and form executable results
• Marketing, operations, software, and education and training need to generate teaching or recruitment diagnoses, improvement suggestions, and scoring/activity lists around the Educational Research Methods Assistant
• Users have already prepared research objectives (explain the questions to be answered in this session, comparison dimensions, judgment criteria, or delivery purposes.), 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 resource links; for restricted content, please upload files or paste excerpts instead.), and hope to organize them into executable analysis or optimization results
• Users need to turn materials related to the Educational Research Methods Assistant 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 '{"goal":"研究目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the questions to be answered in this session, comparison dimensions, judgment criteria, or delivery purposes
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 resource links; for restricted content, please upload files or paste excerpts instead; a complete accessible URL is required
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 questions to be verified, candidate sources, webpage excerpts, literature leads, or comparative viewpoints
brandRequirements	string	No	-	Supplement source scope, time range, credibility requirements, unusable 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 lookup.

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters contain link fields, please pass 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 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
  }
}

Deliverables

• Teaching or recruitment diagnosis, improvement suggestions, scoring/activity checklist: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
• Interpretation of input materials: combine the research objectives (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 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 judgment basis.
• Next steps: provide priorities, execution suggestions, 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 "Education Research Methods Assistant".
• Then check whether the results cover teaching or recruitment diagnosis, improvement suggestions, scoring/activity checklist, and whether clear next steps are given.
• If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or source 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