Skills Guide

Academic Paper Section Generation

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Generates academic paper sections (Abstract, Introduction, Methods, Experiments, Conclusion, Appendix) in LaTeX format, following a pre-extracted style guide and logical skeletons. Useful for producing consistent, publication-ready sections from inputs like source code, results, or outlines.

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Sby Skills Guide Bot
ContentIntermediate
6/2/2026
Claude Code
#academic-writing#latex#paper-sections#research-generation

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Automated summary

Generates academic paper sections (Abstract, Introduction, Methods, Experiments, Conclusion, Appendix) in LaTeX format based on an extracted style guide.

Strengths

  • Produces valid LaTeX with structured logical skeletons
  • Avoids forbidden words and enforces third-person passive voice
  • Integrates domain lexicon and style rules for consistency

Limitations

  • Requires prior style extraction via a separate command
  • Only supports predefined section types
  • Output quality depends on the richness of the lexicon and style guide
When to use it

When you need to draft individual sections of an academic paper in LaTeX with consistent styling and terminology.

When not to use it

For free-form writing without academic formatting constraints, or when the style guide has not been extracted yet.

Security analysis

Safe
Quality score90/100

The skill only reads and writes files within a constrained workspace using Read, Write, Glob, and AskUserQuestion. It generates LaTeX content based on style guides, with no execution of external commands, network access, or destructive operations.

No concerns found

How this analysis is made

Examples

Generate abstract
Generate the abstract section for my paper on deep learning for image segmentation. The full draft is in draft.md.
Write introduction
Write the introduction section using the style guide. Problem: improving model robustness. Method: adversarial training. Background: recent advances in robustness.
Create methods section
Generate the methods section in LaTeX. The algorithm is in algocode.py and the style is already extracted.

name: paper-gen description: Generate academic paper sections (Abstract, Intro, Methods, Experiments, Conclusion, Appendix) in LaTeX format based on extracted style. allowed-tools:

  • Read
  • Write
  • Glob
  • AskUserQuestion

Paper Content Generation Skill

Goal: Generate specific paper sections in valid LaTeX format using the extracted style and domain knowledge.

Prerequisite Check: Before proceeding, check if psmfiles/STYLE_GUIDE.md exists.

  • If MISSING: HALT immediately. Reply: "❌ Missing Style Assets. Please run /paper-extract-style first to build the knowledge base."
  • If FOUND: Proceed with the generation task.

Usage

User will specify the section to generate (e.g., "intro", "method", "abstract", "experiment", "conclusion", "appendix").

Context Loading

  1. Read psmfiles/STYLE_GUIDE.md (Style rules).
  2. Read psmfiles/lexicon_domain.md (Domain sentence bank).
  3. Read paper-gen/LEXICON.md (Logical skeletons).

Generation Tasks

1. Abstract

  • Input: Full draft or summary.
  • Structure: Follow 'Abstract/Logical Skeleton' in LEXICON.md.
  • Constraints:
    • Third-person passive voice.
    • No forbidden words (delve, underscore, realm, pivotal, intricate, meticulously, comprehensive).
  • Output: Save valid LaTeX to psmfiles/abstract.tex.

2. Introduction

  • Input: Problem, Method, Background.
  • Structure: Follow 'Introduction/Logical Skeleton' (Move 1-3 Model).
  • Constraints: Same as Abstract.
  • Output: Save valid LaTeX to psmfiles/section_intro.tex.

3. Methods

  • Input: Source code or algorithm description.
  • Role: "Ghostwriter" for the code.
  • Structure: Follow 'Methods/Logical Skeleton'.
  • Constraints: Same as Abstract.
  • Output: Save valid LaTeX to psmfiles/section_methods.tex.

4. Experiments

  • Input: Results, datasets, setup.
  • Structure: Follow 'Experiments/Logical Skeleton'.
  • Constraints: Same as Abstract.
  • Output: Save valid LaTeX to psmfiles/section_experiments.tex.

5. Conclusion

  • Input: Draft or outline.
  • Structure: Follow 'Conclusion/Logical Skeleton'.
  • Constraints: Same as Abstract.
  • Output: Save valid LaTeX to psmfiles/section_conclusion.tex.

6. Appendix

  • Input: Code, proofs, extra figures.
  • Structure: Follow 'Appendix/Logical Skeleton'.
  • Formatting: Strictly follow 'Appendix' style in STYLE_GUIDE.md.
  • Output: Save valid LaTeX to psmfiles/appendix.tex.

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-section-generation-mm8o51po/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-section-generation-mm8o51po' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/academic-paper-section-generation-mm8o51po/download' --output '.skill-downloads/academic-paper-section-generation-mm8o51po/SKILL.md.part' && mv '.skill-downloads/academic-paper-section-generation-mm8o51po/SKILL.md.part' '.skill-downloads/academic-paper-section-generation-mm8o51po/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-section-generation-mm8o51po/SKILL.md' && test -s '.skill-downloads/academic-paper-section-generation-mm8o51po/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/paper-gen' && cp -R '.skill-downloads/academic-paper-section-generation-mm8o51po' '.claude/skills/paper-gen'

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-section-generation-mm8o51po'

openskills read 'academic-paper-section-generation-mm8o51po'

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-section-generation-mm8o51po/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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