Revise ICML, NeurIPS, and ICLR paper introductions using oral-writing patterns.
npx skills add https://github.com/phamquiluan/dotfiles --skill icml-intro-writer
Please help me install this Agent Skill. Skill: icml-intro-writer Source: https://github.com/phamquiluan/dotfiles/tree/main/skills/icml-intro-writer Command: npx skills add https://github.com/phamquiluan/dotfiles --skill icml-intro-writer
ICML Introduction Writer revises conference paper introductions to match oral-quality writing patterns used in ICML/NeurIPS/ICLR presentations, improving clarity and persuasiveness.
Provide a revised ICML introduction by applying oral-pattern revisions to the given draft.
High-intent search queries and answers about installing and using this skill.
To revise an ICML introduction to match oral presentation quality, provide your current draft to apply oral-writing patterns. It analyzes your structure, motivation, and gaps, then rewrites the opening and contributions for clarity and persuasiveness.
Oral-writing patterns for academic paper introductions are structural and rhetorical techniques used in conference presentations. They improve flow across motivation, gap articulation, and solution preview sections to make the text clearer and more persuasive.
Yes, you can use this to revise introductions for NeurIPS and ICLR papers. It applies oral-writing patterns specifically designed for top machine learning conferences, covering theory, methods, benchmarks, and applications sections.
To integrate citations when rewriting an academic paper introduction, the revision process ensures proper citation integration while applying oral-writing patterns. It maps your text to reference patterns to maintain citation coherence across all revised sections.
Yes, it maintains your original author voice across revised sections. While applying oral-writing patterns to improve opening and motivation sections, it provides guidance to ensure smooth transitions and preserve your voice throughout the introduction.
NITISH-gitbitAutomate literature review, experiment design, result analysis, and paper drafting for ML research.
hyperbolic-cGenerate IMRAD-structured manuscripts from structured notes and outlines.
Jiale-ZouGenerates formatted academic paper introductions and conclusions from given inputs.
lightrain-aGenerate Beamer and PPTX conference talk artifacts from an academic paper directory.
