Revise English academic papers in AI systems, chips, compilers, and computer architecture.
npx skills add https://github.com/Dimen01/skills --skill ai-paper-en
Please help me install this Agent Skill. Skill: ai-paper-en Source: https://github.com/Dimen01/skills/tree/main/skills/ai-paper-en Command: npx skills add https://github.com/Dimen01/skills --skill ai-paper-en
This skill addresses the common struggle of writing academic papers in AI systems, chips, and architecture, where technical depth often clashes with the need for clear, high-level contribution framing and logical flow.
Use the ai-paper-en skill to review the current draft of my paper and suggest improvements for the abstract and introduction sections.
High-intent search queries and answers about installing and using this skill.
To revise an AI systems paper for clear contribution framing, transform implementation-heavy logs into research-oriented arguments that highlight specific gaps and capabilities. This ensures technical depth aligns with high-level abstraction control for publication standards.
The best way to structure an abstract for a computer architecture thesis is applying the specific five-part research pattern required for systems engineering papers. This aligns the logical flow and research narrative to meet top-tier publication standards.
To turn a code implementation log into a research-oriented introduction, apply systematic structural alignment to organize the related work and method sections. This shifts the focus from implementation details to clear research narratives and gaps.
Yes, you can use this academic writing revision approach for compiler and chip research papers. It specifically targets AI systems, chips, compilers, and computer architecture to refine abstracts, introductions, and method sections.
You should not use automated paper revision for technical documentation when your draft requires low-level code documentation rather than high-level abstraction control. This approach targets research narratives and contribution framing, not standard technical specifications.
Yes, this method supports refining related work sections for AI research papers. It applies systematic structural alignment to organize related work alongside abstracts and introductions to ensure clear research narratives and logical flow.
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