Agent skill · writing content · sundial-org
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.
Why this skill is useful
Provides structured templates and specific formatting guidelines for IEEE/ACM papers that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
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: 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 …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/research-paper-writer