Academic Writing Cs
If you're writing CS research papers, this walks you through the complete process from planning your narrative arc to final revision. It's built around the Gopen & Swan clarity principles and includes section-by-section checklists for everything from abstracts to conclusions. The workflow tree is especially useful: it tells you exactly what to do at each stage, whether you're outlining an ML paper's methodology or structuring related work thematically instead of chronologically. It covers conference papers, journal articles, and thesis chapters across all CS subfields. The guidance on common mistakes (like vague contributions in abstracts or laundry-list citations) saves you from typical reviewer complaints. Worth using if you're drafting anything academic, not just polishing final text.
- skills.sh installs
- 272
- GitHub stars
- 2
- last updated
- Aug 21, 2026
Install
$ npx -y skills add sipengxie2024/helios-writing --skill academic-writing-cs --agent claude-codeInstalls into .claude/skills of the current project.
Files
Academic Writing for Computer Science
Overview
This skill provides end-to-end support for writing high-quality computer science research papers. It focuses on constructing clear, compelling technical narratives while adhering to field-specific conventions.
Core Philosophy:
- Academic papers are narrative arcs (Problem → Solution → Evidence → Implications), not template fill-ins
- Clarity comes from structure: place familiar information first, new information last
- Every design choice must be justified; every claim must be supported
Scope:
- Conference papers (6-12 pages, competitive venues)
- Journal articles (15-30 pages, comprehensive)
- Thesis chapters (flexible length, deep coverage)
- All CS subfields: AI/ML, Systems, Theory, HCI, Security, etc.
When to Use This Skill
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- Repository
- github.com/sipengxie2024/helios-writing
- Categories
- Documentation, Code Review & Quality, Data Science & ML, Productivity & Planning
- First seen
- Jun 3, 2026
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