brycewang-stanford/Awesome-Journal-Skills
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
- Stars
- 1.3k
- Forks
- 162
- Open issues
- 1
- Last push
- 26d ago
About Awesome-Journal-Skills
Awesome-Journal-Skills is a free, open-source AI resource list by brycewang-stanford, written mainly in Stata. 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 has 1.3k GitHub stars and 162 forks, and was last updated 26d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Stata
- Stars
- 1,285
- Last update
- 26d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-Journal-Skills FAQ
Is Awesome-Journal-Skills free?
Yes. Awesome-Journal-Skills is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-Journal-Skills run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-Journal-Skills need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-Journal-Skills still maintained?
Yes. It was last updated 26d ago and has 1 open issues on GitHub.
What are alternatives to Awesome-Journal-Skills?
Similar free, open-source tools include Prompt-Engineering-Guide, claude-howto, Supervisor-Skills, linkedin-skills.