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Research Paper Writer

Community
ailabs-393
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.

Overview

Publisherailabs-393
Repositoryai-labs-claude-skills
Skill nameresearch-paper-writer
Stars
447
Forks
115
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ailabs-393 on GitHub. Read the source before you install it.

Installation

Install the Research Paper Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git /tmp/ai-labs-claude-skills
mkdir -p .claude/skills
cp -r /tmp/ai-labs-claude-skills/packages/skills/research-paper-writer .claude/skills/research-paper-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Paper Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Research Paper Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Research Paper Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Research Paper Writer AI skill do?

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.

Why use Research Paper Writer on TypingMind?

Because you install it once and use it with any model. Research Paper Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Research Paper Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/research-paper-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Research Paper Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Research Paper Writer?

As many as you like. As long as a model supports skills, you can use Research Paper Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Research Paper Writer AI skill free?

Yes. It is published on GitHub by ailabs-393 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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