paper-writing-core
Skill9 starsChanged 3 months agoNo licenceView on GitHub
Write and revise ML/AI conference and journal papers (NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, CVPR, COLM, top IEEE journals). Orchestrates three complementary sub-skill packs: (1) a 12-agent paper-writing pipeline for end-to-end orchestration, (2) venue-specific checklists and LaTeX templates for top AI conferences, (3) section-by-section reviewer-friendly polish patterns (Abstract, Intro, Related Work, Method, Experiments, Conclusion). Use when drafting a new paper, revising an existing draft, performing pre-submission polish, or preparing camera-ready. Do NOT use this skill when the user is writing thesis chapters — use thesis-style instead. Triggers: write paper, draft paper, revise paper, polish paper, paper writing, NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, CVPR, COLM, camera-ready, 写论文, 改论文.
In this repository26 other files it gives its agents.
- ablation-plannerSkill
- analyze-resultsSkill
- auto-review-loopSkill
- experiment-implementSkill
- experiment-planSkill
- formula-derivationSkill
- idea-creatorSkill
- idea-discoverySkill
- novelty-checkSkill
- paper-figureSkill
- paper-illustration-image2Skill
- paper-illustrationSkill
- paper-integrity-auditSkill
- paper-posterSkill
- paper-self-reviewSkill
- paper-slidesSkill
- paper-talkSkill
- rebuttalSkill
- research-litSkill
- research-refine-pipelineSkill
- research-refineSkill
- research-reviewSkill
- research-wikiSkill
- resubmit-pipelineSkill
- sediment-top-journal-writingSkill
- slides-polishSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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