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Awesome-Journal-Skills MCP Server

brycewang-stanford/Awesome-Journal-Skills

Score: 82.4 Rank #1384 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。

Ranked #1384 out of 24840 indexed tools.

In the top 6% of all indexed tools.

Has 1,159 GitHub stars.

Ecosystem

Stata MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,159

1,159 stars → well-known project

Freshness 25% 10d ago

Last commit 10d 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 153
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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AgentRank score for brycewang-stanford/Awesome-Journal-Skills
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