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The Awesome-Journal-Skills MCP server was last committed 20d ago and has 7 contributors. Issue health: 60% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Awesome-Journal-Skills MCP Server

Name: brycewang-stanford/Awesome-Journal-Skills
Rating: 4.2 (1 reviews)
Author: brycewang-stanford

brycewang-stanford/Awesome-Journal-Skills

Score: 80.4 ↓ 1.8% Rank #1847 MCP Server

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Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。

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Overview

brycewang-stanford/Awesome-Journal-Skills is a Stata tool licensed under MIT. Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。 Topics: academic-writing, agent-skills, journal, academic-research, ai-agents, anthropic, awesome-list, claude, claude-code, economics, finance, llm, mcp, peer-review, research-tools, scholarly-publishing, causal-inference, econometrics, empirical-research, replication.

Ranked #1847 out of 24846 indexed tools.

In the top 8% of all indexed tools.

Has 1,248 GitHub stars.

Ecosystem

Stata MIT

academic-writingagent-skillsjournalacademic-researchai-agentsanthropicawesome-listclaudeclaude-codeeconomicsfinancellmmcppeer-reviewresearch-toolsscholarly-publishingcausal-inferenceeconometricsempirical-researchreplication

Score Breakdown

Stars 15% 1,248

1,248 stars → well-known project

Freshness 25% 20d ago

Last commit 20d ago → recently updated

Issue Health 25% 60%

3/5 issues closed → decent issue management

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 159

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1,248
Forks: 159
Open Issues: 2
Closed Issues: 3
Contributors: 7
Dependents: —
Language: Stata
License: MIT
Last Commit: 20d ago

Matched Queries

topic:mcp

From the README

# Awesome Journal Skills (AJS)

<p align="center">
  
</p>

[English](README.en.md) | 简体中文

<div align="center">
  <table>
    <tr>
      <td align="center">
        <a href="https://copaper.ai"></a>
      </td>
      <td width="56"></td>
      <td align="center">
        <a href="https://reap.fsi.stanford.edu/"></a>
      </td>
    </tr>
  </table>
  <sub><strong>Stanford REAP × CoPaper.AI</strong> · 由斯坦福实证方法论团队精选与维护</sub>
  <br/>
  <table>
    <tr>
      <td align="center">
        <a href="https://copaper.ai"></a><br/>
        <strong>访问 <a href="https://copaper.ai">copaper.ai</a></strong>
      </td>
      <td width="40"></td>
      <td align="center">
        <br/>
        <strong>微信：CoPaper.AI</strong>
      </td>
    </tr>
  </table>
</div>

<p align="center"><b>按 11 个主流学科板块覆盖</b></p>

<ul>
  <li><h1><a href="#discipline-cross">综合·交叉</a></h1></li>
  <li><h1><a href="#discipline-business">经管与商科</a></h1></li>
  <li><h1><a href="#discipline-social-sciences">社会科学</a></h1></li>
  <li

Read full README on GitHub →