paper-writing

name	paper-writing
description	Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.
license	MIT
metadata	{"category":"writing","version":"1.0.0","author":"Claude Code Community"}

Academic Paper Writing Skill

This skill provides comprehensive guidance for writing excellent academic and research papers across all disciplines. It covers structure, style, argumentation, and best practices from initial planning through final revision.

Quick Start

For immediate guidance, see the task-specific workflows below. For comprehensive reference material, consult:

• references/REFERENCE.md - Complete writing guidelines and best practices
• references/STRUCTURE.md - Detailed templates for different paper types
• references/STYLE.md - Writing style and clarity guidelines
• assets/ - Ready-to-use paper templates

Core Workflow

1. Planning Phase

Understand the Requirements

• Identify target venue (journal, conference, report)
• Check formatting requirements (APA, IEEE, ACM, Chicago, etc.)
• Note page limits, section requirements, and citation style
• Clarify submission deadlines and review process

Define the Research Question

• Formulate a clear, focused research question or hypothesis
• Ensure the question is specific, measurable, and answerable
• Identify the gap in existing knowledge or practice
• State the contribution your work will make

Create an Outline

• Draft section headings based on paper type (see Structure section)
• Allocate approximate space to each section
• Identify key points for each section
• Map evidence and references to sections

2. Writing Phase

Follow the Structured Approach

Work section-by-section, not necessarily in order. Many authors write in this sequence:

1. Methods (clearest, most concrete)
2. Results (present findings)
3. Introduction (frame the problem)
4. Discussion (interpret results)
5. Conclusion (summarize contributions)
6. Abstract (last, summarizes everything)

Section-Specific Guidance

Abstract (150-300 words)

• State the problem and motivation (1-2 sentences)
• Describe your approach/method (1-2 sentences)
• Summarize key results (2-3 sentences)
• State conclusions and implications (1-2 sentences)
• Make it self-contained (no citations, no undefined acronyms)

Introduction

• Hook: Why should anyone care? (1 paragraph)
• Context: What's the broader problem space? (1-2 paragraphs)
• Gap: What's missing in current solutions? (1 paragraph)
• Your contribution: What does this paper do? (1 paragraph)
• Paper organization: Brief roadmap (optional, 1 paragraph)

Related Work / Literature Review

• Group work thematically, not chronologically
• Compare and contrast approaches
• Identify limitations of existing work
• Position your work clearly vs. alternatives
• Be fair and accurate (don't strawman competitors)

Methodology / Approach

• Describe methods with enough detail for replication
• Justify design choices
• Define metrics and evaluation criteria
• Explain data collection and analysis procedures
• Include diagrams for complex processes

Results

• Present findings objectively without interpretation
• Use tables and figures effectively (see the dataviz skill and references/REFERENCE.md)
• Report statistical significance where applicable
• Address both positive and negative results
• Organize by research question or hypothesis

Discussion

• Interpret results in context of research questions
• Compare with related work
• Explain unexpected findings
• Acknowledge limitations honestly
• Discuss implications for theory and practice

Conclusion

• Restate key contributions (1 paragraph)
• Summarize main findings (1 paragraph)
• Discuss broader implications (1 paragraph)
• Suggest future work (1 paragraph)
• End with a strong closing statement

3. Refinement Phase

First Revision: Structure and Argument

• Does each section serve its purpose?
• Is the argument logical and complete?
• Are transitions between sections smooth?
• Does evidence support all claims?
• Are counterarguments addressed?

Second Revision: Clarity and Style

• Remove jargon and define technical terms
• Eliminate redundancy and wordiness
• Use active voice for clarity (prefer "We analyzed" over "Analysis was performed")
• Ensure parallel structure in lists
• Check paragraph length (aim for 4-8 sentences)

Third Revision: Polish

• Check grammar, spelling, punctuation
• Verify all citations are formatted correctly
• Ensure figures/tables are referenced in text
• Number sections, equations, figures consistently
• Proofread carefully (reading aloud helps)

Discipline-Specific Considerations

Computer Science / Engineering

• Emphasize reproducibility and implementation details
• Include complexity analysis where relevant
• Provide algorithm pseudocode or code snippets
• Compare against state-of-the-art baselines
• Make code/data available when possible

Natural Sciences

• Follow strict IMRAD structure (Intro, Methods, Results, Discussion)
• Report statistical power and effect sizes
• Include detailed experimental protocols
• Address confounding variables
• Report null results honestly

Social Sciences

• Contextualize within theoretical frameworks
• Justify sampling and participant selection
• Report demographic information
• Address potential biases
• Discuss generalizability limitations

Humanities

• Develop clear thesis statement
• Support arguments with textual evidence
• Engage with scholarly debates
• Use close reading and analysis
• Contextualize within historical/cultural frameworks

Conversation-First Approach

When helping users write papers, prioritize natural conversation over rapid-fire questions:

1. Start simple: Ask ONE opening question to understand their situation

   • "What's your paper about?" (topic/working title)
   • OR "What stage are you at?" (if they're already focused)

2. Listen and follow up: Based on their answer, ask the next most relevant question

   • If they're starting: Ask about target venue or research gap
   • If they're revising: Ask which section needs work
   • If they're stuck: Ask what specific challenge they're facing

3. Build context progressively: Let information emerge naturally through dialogue

4. Provide targeted help: Focus on their immediate need, not all possible topics

5. Maintain author voice: Edit to improve, not to rewrite in a different style

6. Explain recommendations: Help them understand why changes strengthen their paper

7. Load references as needed: Use reference documents for deeper guidance only when relevant

Using Reference Materials

This skill includes detailed reference materials for deeper guidance:

• Load references/REFERENCE.md for comprehensive writing guidelines, style guides, and detailed best practices
• Load references/STRUCTURE.md for complete templates for different paper types (journal article, conference paper, thesis, etc.)
• Load references/STYLE.md for in-depth guidance on academic writing style, word choice, and clarity
• Check assets/ for ready-to-use templates in various formats

Only load these materials when needed to conserve context. For most tasks, the guidance above is sufficient.

Quality Checklist

Before considering a paper complete, verify:

• Clear research question or contribution stated in introduction
• All claims supported by evidence or citations
• Logical flow from section to section
• Methods sufficiently detailed for replication
• Results presented objectively
• Discussion interprets results and addresses limitations
• All figures/tables referenced in text and have clear captions
• Citations formatted consistently
• Abstract accurately summarizes the paper
• No typos or grammatical errors
• Meets venue requirements (format, length, style)

Remember: All good papers go through multiple revisions. Writing is rewriting.