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AI research workflow skills from literature review to paper submission.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Light-skills" yet — see the docs or source repo.
Create a literature review plan for 'the use of generative AI in scientific writing,' including search keywords, screening criteria, reading order, and a note-taking template.
A structured review plan to help start literature search and reading efficiently.
Based on my research topic and current experimental results, generate a paper outline organized into abstract, introduction, methods, results, discussion, and conclusion, and note what information is still needed for each section.
A paper structure ready for drafting, plus suggestions on missing content.
Prepare a pre-submission checklist for a paper, covering manuscript completeness, references, figures and tables, formatting consistency, and submission materials.
A pre-submission checklist to reduce omissions and improve preparation efficiency.
Researchers or students can use it at the topic selection stage to organize literature review work, from search to reading, and build clearer research inputs. It fits scenarios that require a systematic start to research.
During the writing stage, users can use this skill set to organize paper structure, refine content, and connect different writing steps. It is suitable for research work that needs to move from draft to full manuscript.
Near submission time, users can use it to cover pre-submission preparation and reduce missed steps. It suits scenarios where research output is being turned into a formal submission.
It is an end-to-end research skill package with 28 skills covering the workflow from literature review to submission, paired with 9 verifiable knowledge bases.
Based on the provided information, it covers the full process from literature review to paper submission. For finer skill breakdowns and step details, see the source repository.
The only confirmed information is that it works with mainstream AI coding clients. For installation, dependencies, and configuration details, see the source repository.
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