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research-paper-writer

by @ailabs-393v
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IEEEおよびACMの会議/ジャーナル出版基準に準拠した正式な学術研究論文の執筆を指導します。

Academic WritingResearch PapersScientific CommunicationLiterature ReviewAI Writing AssistantGitHub
インストール方法
npx skills add ailabs-393/ai-labs-claude-skills --skill research-paper-writer
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Before / After 効果比較

1
使用前

学術論文を執筆する際、構成、フォーマット、学術的な執筆スタイルに関する体系的な指導が不足しており、IEEEやACMなどの学術誌や会議の発表基準を満たすことが困難です。

使用後

研究論文の執筆ガイドラインに従い、論文の厳密な構成、標準化されたフォーマット、専門的な言語、研究テーマの包括的なカバーを確保し、論文の採択率を高めます。

description SKILL.md

research-paper-writer

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:

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)?

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:

Create outline

Develop detailed section-by-section outline

  • Define key points for each section

  • Identify where figures/tables are needed

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)

Add citations

Reference related work throughout

  • Support claims with evidence from literature

  • Create comprehensive reference list

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

Weekly Installs810Repositoryailabs-393/ai-l…e-skillsGitHub Stars329First SeenJan 23, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled onopencode758gemini-cli731codex721github-copilot694cursor676kimi-cli642

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統計データ

インストール数244
評価4.5 / 5.0
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更新日2026年3月17日
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対応プラットフォーム

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タイムライン

作成2026年3月17日
最終更新2026年3月17日