Research Paper Writer

Creates formal academic research papers following IEEE/ACM formatting standards with proper structure, citations, and scholarly writing style. Use when the user asks to write a research paper, academic paper, or conference paper on any topic.

Security Scan

The skill's requirements, instructions, and included files are consistent with a paper-writing/conformance helper and do not request unrelated credentials, installs, or system access.

Purpose & Capability

The name/description (research paper writer) aligns with the provided assets: a detailed SKILL.md explaining structure/formatting and local reference documents for IEEE/ACM style. There are no unrelated environment variables, binaries, or cloud credentials requested.

Instruction Scope

The SKILL.md instructs the agent to clarify user requirements, review provided research materials, and generate content following formatting/citation rules. It does not direct the agent to read arbitrary system files, access secrets, or transmit data to unknown external endpoints. The only mild vagueness is general guidance to "gather context if needed," which reasonably refers to user-supplied materials.

Install Mechanism

No install spec is provided (instruction-only), which minimizes disk writes and external downloads. The package contains reference docs and an index.js stub but no installation or remote-fetch steps.

Credentials

No environment variables, credentials, or config paths are required. The skill does not request tokens or secrets and its local files are formatting and style guides appropriate for the stated purpose.

Persistence & Privilege

Flags show no always:true and model invocation is allowed (platform default). The skill does not request persistent system-level privileges, nor does it attempt to modify other skills or system configuration.

Assessment

This skill appears internally consistent and low-risk: it contains detailed writing and formatting guidance plus local reference files and does not request credentials or perform installs. Two practical notes before installing: (1) the index.js is a no-op stub — the skill is primarily instruction/content; expect the agent to follow the SKILL.md rather than run complex code. (2) Using this skill to generate material for submission should follow your institution's academic-integrity rules (ensure proper attribution, do not present generated text as someone else's original work, and verify citations/DOIs). If you need networked features (fetching papers, DOI lookup, or bibliography resolution), ask the author/maintainer how external data is accessed and what credentials or endpoints would be used.

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