11station/applied-linguistics-paper-writing — explained in plain English
Analysis updated 2026-05-18
Get help narrowing a research topic and drafting research questions for an applied linguistics paper.
Choose an appropriate SSCI Q1 journal for a specific subfield like TESOL or SLA.
Simulate reviewer feedback on a manuscript before submitting it to a journal.
Polish English academic prose and detect AI-sounding writing in a draft paper.
| 11station/applied-linguistics-paper-writing | 0xblackash/cve-2026-46242 | 1038lab/comfyui-agnes-ai | |
|---|---|---|---|
| Stars | 18 | 18 | 18 |
| Language | — | C | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 1/5 | 2/5 |
| Audience | researcher | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Clone into the Codex skills directory and restart Codex to load it.
This project is a skill for Codex, a coding assistant, aimed at helping people write academic papers in applied linguistics. It is meant for researchers and graduate students working in areas like second language acquisition, TESOL, English as a foreign or second language, second language writing, language assessment, corpus based research, discourse and pragmatics, and AI assisted language teaching. The skill includes a built-in reference list of top-ranked linguistics journals aimed at 2026, along with guidance on choosing the right journal for different subfields. The README is clear that authors should still check each journal's current scope, ranking, impact factor, and submission guidelines directly, rather than relying only on this list. It is designed to help with many stages of writing a paper, including narrowing down a topic and framing research questions, planning and combining a literature review, building a theoretical framework, writing about methodology and analysis plans, drafting results and discussion sections, polishing English academic writing, detecting and revising text that sounds AI generated, preparing a submission for SSCI or TESOL style journals, simulating reviewer feedback before submission, and checking citations, data, and statistical results. Importantly, the skill states clearly that it will not invent or fabricate data, participant details, interview excerpts, classroom observations, statistical results, references, DOIs, reviewer comments, or journal information. It is meant to support writing and research thinking, not to replace actual data analysis, ethics review, supervisor feedback, or a journal's own author guidelines. To install it, you clone the repository into your Codex skills folder and restart Codex so it can find the new skill. The README gives example prompts, such as asking Codex to use the skill to refine research questions, revise a literature review, or simulate reviewer comments for a manuscript. The project is released under the MIT license and says it was adapted from an earlier law-focused writing skill.
A Codex skill that helps researchers write and polish applied linguistics papers, from research questions to journal submission.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
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