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top-journals-methods-scout

Analyze recent top-journal research methods across 14 disciplines using OpenAlex retrieval and heuristic classification.

265|23|Updated Feb 7, 2026
Search Tags:#curriculum design#openalex#excel report#methods scanning#ai method taxonomy#heuristic classification
One-click install
npx skills add https://github.com/yipng05-max/-skills --skill top-journals-methods-scout-yipng05-max
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: top-journals-methods-scout
Source: https://github.com/yipng05-max/-skills/tree/main/top-journals-methods-scout
Command: npx skills add https://github.com/yipng05-max/-skills --skill top-journals-methods-scout-yipng05-max

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It turns large-scale top-journal method discovery into a reusable workflow, so you can quickly answer what research methods are currently used and how AI methods are evolving across disciplines.

Core Features & Use Cases

  • Global methods scan (OpenAlex-based): Pull recent papers from 14 humanities & social science discipline buckets and build a corpus for method analysis.
  • Heuristic method labeling at scale: Apply rule-based L1 tagging plus AI role identification (AI-as-tool vs AI-as-object) to avoid costly per-paper deep coding.
  • Deliverables for teaching and planning: Produce a 4-sheet Excel methods matrix and a Markdown trend report, with explicit guidance for course design.

Quick Start

Ask the assistant to scan recent top-journal methods for a course-planning purpose, for example: “帮我看看最近顶刊都用什么方法，并且把过去两年 AI 研究方法也单独总结出来。”

Frequently Asked Questions about top-journals-methods-scout

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scan top-journal research methods across humanities and social science disciplines?▼

Scanning top-journal research methods uses OpenAlex retrieval to pull recent papers from 14 disciplines and applies rule-based heuristic classification to generate an Excel methods matrix and Markdown trend report.

What is the best way to track AI-related research method trends for curriculum design?▼

Tracking AI method trends for curriculum design involves heuristic method labeling that identifies AI-as-tool versus AI-as-object roles across a configurable time window, producing explicit course design guidance.

Can I use OpenAlex data to generate an Excel methods matrix for large-scale method discovery?▼

Yes, OpenAlex data builds a corpus for method analysis and produces a 4-sheet Excel methods matrix, enabling large-scale discovery of what research methods are trending without costly per-paper deep coding.

Does this heuristic method classification approach work without per-paper deep coding?▼

Heuristic method classification avoids per-paper deep coding by applying rule-based L1 tagging and AI role identification at scale, summarizing recent research methods efficiently across 14 humanities and social science disciplines.

What disciplines are covered when extracting research methods from OpenAlex?▼

OpenAlex retrieval covers 14 humanities and social science discipline buckets, building a corpus for method analysis that identifies trending research methods and AI method evolution within a configurable time window.

Do I need openpyxl installed to generate the Excel methods matrix report?▼

Yes, openpyxl is a required dependency to produce the 4-sheet Excel methods matrix report that summarizes identified research methods and AI trends for teaching updates and curriculum planning.

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