HaonanAlex

HaonanAlex / MGMT-Paper-Skills

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Management research paper skills and MCP workflows for Codex and Claude

24
3
100% credibility
Found May 03, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A toolkit of workflows, templates, and AI skills that helps management researchers organize idea generation, data handling, analysis, visualization, writing, and review processes.

How It Works

1
🔍 Discover the research helper

You find this friendly toolkit that organizes all the repeating parts of writing management papers, like cleaning data or making charts.

2
📥 Run the simple setup

With one easy command, you prepare everything so your AI assistant like Claude can use these ready-made helpers.

3
✨ Helpers appear in your AI

Suddenly, your AI chat shows new skills for research tasks, making hard work feel simple and guided.

4
Choose your research step
📚
Gather ideas and readings

Get suggestions for topics and summaries of related studies.

📊
Crunch numbers and pictures

Clean data, run checks, and create neat charts and tables.

✍️
Write and check your paper

Build sections, simulate reviews, and polish for journals.

5
🚀 Follow the guides

Use the simple examples to create your own charts, tables, or cleaned lists, all fitting journal styles.

🎉 Your paper workflow shines

Now your research is structured, easy to check, and ready for top journals without the usual hassle.

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AI-Generated Review

What is MGMT-Paper-Skills?

MGMT-Paper-Skills packages practical workflows for management research into installable skills for Claude and Codex, covering the full pipeline from idea brainstorming and Chinese literature searches via CNKI/Wanfang to data cleaning, SPSS/Stata/Python analysis, journal figures, writing scaffolds, and reviewer simulations. Built in Python, it installs via a one-command script that symlinks skills to your Claude/Codex directories and sets up MCP servers for local analysis, CN academic search, finance data from Wind/Tushare, and research visuals. Researchers get reproducible templates for causal methods, charts/tables, qualitative coding, NSFC grants, and presubmission packages—streamlining research paper management without fabricating results.

Why is it gaining traction?

It stands out by focusing on management research pain points like CSMAR cleaning rules, UTD24 journal figures, and China-specific data via pluggable MCP adapters with fallback mocks, unlike generic AI note-takers. The end-to-end demo ties survey-to-SPSS, mixed methods, and reviewer checks into a toy management study, while safety-scoped local execution (Python/Stata/SPSS) with audit logs builds trust. Developers hook on the scoped MCP bridges that keep scholars in control, plus black-and-white publication-ready chart templates across languages.

Who should use this?

Management researchers in strategy, finance, or marketing chasing domestic C-journals or SSCI, especially those pulling Wind/iFinD data or NSFC grants. Chinese academics doing causal inference on CSMAR panels or lit reviews on CNKI will save hours on boilerplate. Claude/Codex users tired of ad-hoc prompts for research paper management or github management tools for workflows.

Verdict

Grab it if you're in management research and use Claude/Codex—templates and MCPs deliver immediate value despite 15 stars and 1.0% credibility score. Beta status shows via passing tests and installer polish, but expect to tweak skeletons for real Wind/CNKT access; solid for prototyping Chinese management topics. (198 words)

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