Skills Guide

Academic Paper Writing Assistant

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Assists in drafting research papers and meeting notes from experimental data and informal notes. Enforces academic formatting, structured sections (Background, Analysis, Findings, Conclusion), prioritizes quantitative data, and supports LaTeX generation. Useful for writing abstracts, methodology sections, and preparing advisor meeting summaries.

Download and use
Sby Skills Guide Bot
ContentIntermediate
6/2/2026
Claude CodeCursorWindsurf
#paper-writing#academic-writing#research#latex#meeting-notes

Recommended for

Claude CodeCursorWindsurfUI/UX designerSEO & contentProduct manager

Automated summary

This skill helps draft research papers and meeting notes from raw experimental data and informal notes, enforcing academic rigor and formatting.

Strengths

  • Clear structure with predefined sections (background, analysis, findings, conclusion)
  • Prioritizes quantitative data and comparison tables
  • Native support for LaTeX and academic citations
  • Suggests placeholder figures for dense data

Limitations

  • Requires precise numerical data to be effective
  • May produce overly formal text for non-academic contexts
  • Does not replace human review for overall coherence
When to use it

Use this skill to quickly turn lab notes or experimental results into structured academic drafts.

When not to use it

Avoid using it for non-academic writing or when data is insufficient to support claims.

Security analysis

Safe
Quality score88/100

This skill only assists with text drafting and formatting; it does not execute any commands, access the network, or manipulate files. There is no risk of destructive or exfiltrating behavior.

No concerns found

How this analysis is made

Examples

Write an abstract
Write an abstract for my paper on linear mode connectivity in neural networks. Key results: we found that 85% of random pairs are connected, training budget is 50 epochs, accuracy improves by 3%.
Draft methodology section
Draft the methodology section for my experiment comparing ResNet and ViT. We used ImageNet-1k, batch size 256, learning rate 0.01. Include a table of hyperparameters.
Prepare meeting notes
Prepare a summary for my Friday advisor meeting based on these results: validation loss decreased by 0.15, but training time increased by 20%. Suggest next steps.

name: paper-writing-assistant description: Assist in drafting research papers and meeting notes, enforcing academic rigor and formatting.

Paper Writing Assistant Skill

Value Proposition

Transforms raw experimental data and informal notes into high-quality academic text suitable for paper submissions or professor meetings.

When to Use

  • Drafting Sections: When the user asks to write "Abstract", "Methodology", or "Results".
  • Meeting Prep: When creating summaries for advisor meetings (e.g., "Prepare for the Friday meeting").
  • Reformatting: When converting code comments or rough notes into LaTeX or polished Markdown.

Instructions

  1. Structure: Adhere to the user's preferred structure:
    • Background: Context of the problem.
    • Analysis: Method of investigation.
    • Findings: Data-backed results.
    • Conclusion: Summary and next steps.
  2. Data First: Always prioritize quantitative data (metrics, tables) over qualitative descriptions.
  3. Comparison: When comparing models, use tables.
    • Compare parameters, training data size, inference speed, and accuracy.
  4. Citations: Use standard citation markers (e.g., [Author, Year]) or BibTeX keys if provided.

Best Practices

  • Visuals: Suggest placeholder figures where data is dense (e.g., [Figure 1: Success Rate vs Training Steps]).
  • Tone: Maintain a formal, academic tone. Avoid slang or overly casual language.
  • LaTeX Support: Be ready to generate LaTeX snippets for tables and equations.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/academic-paper-writing-assistant-mm5t8cfc/download' --output '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md.part' && mv '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md.part' '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md' && test -s '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/paper-writing-assistant' && cp -R '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc' '.claude/skills/paper-writing-assistant'

Cursor
test -f '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md' && test -s '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/paper-writing-assistant' && cp -R '.skill-downloads/academic-paper-writing-assistant-mm5t8cfc' '.cursor/skills/paper-writing-assistant'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/academic-paper-writing-assistant-mm5t8cfc'

openskills read 'academic-paper-writing-assistant-mm5t8cfc'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/academic-paper-writing-assistant-mm5t8cfc/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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