research-paper-writer

📁 ailabs-393/ai-labs-claude-skills 📅 Jan 23, 2026
149
总安装量
149
周安装量
#1682
全站排名
安装命令
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill research-paper-writer

Agent 安装分布

opencode 113
gemini-cli 100
claude-code 99
github-copilot 73
antigravity 69

Skill 文档

Research Paper Writer

Overview

This skill guides the creation of formal academic research papers that meet publication standards for IEEE and ACM conferences/journals. It ensures proper structure, formatting, academic writing style, and comprehensive coverage of research topics.

Workflow

1. Understanding the Research Topic

When asked to write a research paper:

  1. Clarify the topic and scope with the user:

    • What is the main research question or contribution?
    • What is the target audience (conference, journal, general academic)?
    • What is the desired length (page count or word count)?
    • Are there specific sections required?
    • What formatting standard to use (IEEE or ACM)?
  2. Gather context if needed:

    • Review any provided research materials, data, or references
    • Understand the domain and technical background
    • Identify key related work or existing research to reference

2. Paper Structure

Follow this standard academic paper structure:

1. Title and Abstract
   - Concise title reflecting the main contribution
   - Abstract: 150-250 words summarizing purpose, methods, results, conclusions

2. Introduction
   - Motivation and problem statement
   - Research gap and significance
   - Main contributions (typically 3-5 bullet points)
   - Paper organization paragraph

3. Related Work / Background
   - Literature review of relevant research
   - Comparison with existing approaches
   - Positioning of current work

4. Methodology / Approach / System Design
   - Detailed description of proposed method/system
   - Architecture diagrams if applicable
   - Algorithms or procedures
   - Design decisions and rationale

5. Implementation (if applicable)
   - Technical details
   - Tools and technologies used
   - Challenges and solutions

6. Evaluation / Experiments / Results
   - Experimental setup
   - Datasets or test scenarios
   - Performance metrics
   - Results presentation (tables, graphs)
   - Analysis and interpretation

7. Discussion
   - Implications of results
   - Limitations and threats to validity
   - Lessons learned

8. Conclusion and Future Work
   - Summary of contributions
   - Impact and significance
   - Future research directions

9. References
   - Comprehensive bibliography in proper citation format

3. Academic Writing Style

Apply these writing conventions from scholarly research:

Tone and Voice:

  • Formal, objective, and precise language
  • Third-person perspective (avoid “I” or “we” unless describing specific contributions)
  • Present tense for established facts, past tense for specific studies
  • Clear, direct statements without unnecessary complexity

Technical Precision:

  • Define all acronyms on first use: “Context-Aware Systems (C-AS)”
  • Use domain-specific terminology correctly and consistently
  • Quantify claims with specific metrics or evidence
  • Avoid vague terms like “very”, “many”, “significant” without data

Argumentation:

  • State claims clearly, then support with evidence
  • Use logical progression: motivation → problem → solution → validation
  • Compare and contrast with related work explicitly
  • Address limitations and counterarguments

Section-Specific Guidelines:

Abstract:

  • First sentence: broad context and motivation
  • Second/third: specific problem and gap
  • Middle: approach and methodology
  • End: key results and contributions
  • Self-contained (readable without the full paper)

Introduction:

  • Start with real-world motivation or compelling problem
  • Build from general to specific (inverted pyramid)
  • End with clear contribution list and paper roadmap
  • Use examples to illustrate the problem

Related Work:

  • Group related work by theme or approach
  • Compare explicitly: “Unlike [X] which focuses on Y, our approach…”
  • Identify gaps: “However, these approaches do not address…”
  • Position your work clearly

Results:

  • Present data clearly in tables/figures
  • Describe trends and patterns objectively
  • Compare with baselines quantitatively
  • Acknowledge unexpected or negative results

4. Formatting Guidelines

IEEE Format (default):

  • Page size: A4 (210mm × 297mm)
  • Margins: Top 19mm, Bottom 43mm, Left/Right 14.32mm
  • Two-column layout with 4.22mm column separation
  • Font: Times New Roman throughout
    • Title: 24pt bold
    • Author names: 11pt
    • Section headings: 10pt bold, numbered (1., 1.1, 1.1.1)
    • Body text: 10pt
    • Figure/Table captions: 8pt
  • Line spacing: Single
  • Paragraph: No indentation, 3pt spacing between paragraphs
  • Figures: Centered, with captions below
  • Tables: Centered, with captions above

ACM Format (alternative):

  • Standard ACM conference proceedings format
  • Single-column abstract, two-column body
  • Include CCS Concepts and Keywords sections after abstract
  • Use ACM reference format for citations

5. Citations and References

In-text citations:

  • Use numbered citations: “Recent work [1, 2] has shown…”
  • Multiple citations in chronological order: [3, 7, 12]
  • Reference specific sections: “As demonstrated in [5, Section 3]…”

Reference formatting (IEEE style):

[1] A. Author, B. Author, and C. Author, "Title of paper," in Proc. Conference Name, Year, pp. 123-456.
[2] D. Author, "Title of journal article," Journal Name, vol. X, no. Y, pp. 123-456, Month Year.
[3] E. Author, Book Title, Edition. City: Publisher, Year.

Reference list requirements:

  • Alphabetically ordered by first author’s last name (or numbered by citation order)
  • Include DOI or URL when available
  • Minimum 15-20 references for a full paper
  • Mix of recent (last 5 years) and foundational works

6. Content Generation Process

Step-by-step approach:

  1. Create outline

    • Develop detailed section-by-section outline
    • Define key points for each section
    • Identify where figures/tables are needed
  2. Draft sections iteratively

    • Start with methodology (core contribution)
    • Then introduction (now that contribution is clear)
    • Related work (to position the contribution)
    • Results and evaluation
    • Discussion and conclusion
    • Abstract last (summary of complete paper)
  3. Add citations

    • Reference related work throughout
    • Support claims with evidence from literature
    • Create comprehensive reference list
  4. Review and refine

    • Check logical flow between sections
    • Ensure consistency in terminology
    • Verify all figures/tables are referenced in text
    • Confirm abstract matches content
    • Validate citation completeness

Examples

Example 1: User asks for a survey paper

User: "Write a research paper surveying recent advances in context-aware systems"

Response:
1. Clarify scope: "I'll create a survey paper on context-aware systems. A few questions:
   - Should I focus on specific aspects (e.g., requirements engineering, implementation techniques)?
   - What time period for 'recent' (last 5 years, 10 years)?
   - Target length: 10-15 pages, or 20-30 pages comprehensive survey?
   - IEEE or ACM format?"

2. After clarification, create outline showing:
   - Taxonomy of context-aware systems
   - Survey methodology
   - Classification scheme
   - Section-by-section coverage of different aspects
   - Trends and future directions

3. Draft paper following survey structure with extensive related work coverage

Example 2: User asks for an experimental paper

User: "Write a paper about my new algorithm for detecting hallucinations in vision-language models"

Response:
1. Gather details about:
   - Algorithm approach and novelty
   - Experimental setup and datasets used
   - Results and metrics
   - Comparison baselines

2. Structure as experimental paper:
   - Introduction: motivation for hallucination detection
   - Related work: existing detection methods
   - Proposed method: detailed algorithm description
   - Experiments: datasets, metrics, setup
   - Results: quantitative comparison with baselines
   - Analysis: ablation studies, error analysis
   - Conclusion: contributions and future work

3. Emphasize reproducibility and empirical validation

Resources

references/

  • writing_style_guide.md: Detailed academic writing conventions extracted from example papers
  • ieee_formatting_specs.md: Complete IEEE formatting specifications
  • acm_formatting_specs.md: Complete ACM formatting specifications

assets/

  • full_paper_template.pdf: IEEE paper template with formatting examples
  • interim-layout.pdf: ACM paper template
  • Reference these templates when discussing formatting requirements with users

Important Notes

  • Always ask for clarification on topic scope before starting
  • Quality over speed: Take time to structure properly and write clearly
  • Cite appropriately: Academic integrity requires proper attribution
  • Be honest about limitations: Acknowledge gaps or constraints in the research
  • Maintain consistency: Terminology, notation, and style throughout
  • User provides the research content: This skill structures and writes; the user provides the technical contributions and findings