by brycewang-stanford · MCP Server · ★ 361
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Awesome Journal Skills (AJS) English | 简体中文 Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 1984 个 Agent Skill，横跨经管社科 · 人文社科 · 自然科学 · 临床医学 · AI 计算机等多个主流学科，凝结为 122 个精选期刊／会议 Pack——
| Stars | 361 |
| Forks | 49 |
| Language | Stata |
| Category | MCP Server |
| License | MIT |
| Quality Score | 35.03/100 |
| Last Updated | 2026-06-21 |
| Created | 2026-05-25 |
| Platforms | claude-code, codex, mcp |
| Est. Tokens | ~28k |
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Awesome-Journal-Skills is 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. It is categorized as a MCP Server with 361 GitHub stars.
Awesome-Journal-Skills is primarily written in Stata. It covers topics such as academic-research, academic-writing, agent.
You can find installation instructions and usage details in the Awesome-Journal-Skills GitHub repository at github.com/brycewang-stanford/Awesome-Journal-Skills. The project has 361 stars and 49 forks, indicating an active community.
Awesome-Journal-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-Journal-Skills on Agent Skills Hub include claudepro-directory, ios-simulator-skill, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.