---
id: sm-research-paper-writer
name: "research-paper-writer"
url: https://skills.yangsir.net/skill/sm-research-paper-writer
author: ailabs-393
domain: science
tags: ["academic-writing", "research-papers", "scientific-communication", "literature-review", "ai-writing-assistant"]
install_count: 2600
rating: 4.40 (20 reviews)
github: https://github.com/ailabs-393/ai-labs-claude-skills
---

# research-paper-writer

> 指导撰写符合IEEE和ACM会议/期刊出版标准的正式学术研究论文。

**Stats**: 2,600 installs · 4.4/5 (20 reviews)

## Before / After 对比

### 学术论文撰写

## Readme

# 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

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