lingzhi227/agent-research-skills/paper-writing-section

Claude Code and agent skill by lingzhi227/agent-research-skills

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Checking that the SKILL.md file is still in the repository.

Write a specific section of an academic paper (Abstract, Introduction, Background, Related Work, Methods, Experiments, Results, Discussion/Conclusion) with section-specific guidance and two-pass refinement. Use when the user wants to write, draft, or improve a paper section.

Install

npx vskill@latest install lingzhi227/agent-research-skills/paper-writing-section

SKILL.md

Paper Section Writer

Write a publication-quality section for an academic paper.

Input

  • $0 — Section name: abstract, introduction, background, related-work, methods, experimental-setup, results, discussion, conclusion
  • $1 — (Optional) Path to context file (research plan, results, prior sections)

Workflow

Step 1: Gather Context

Read the paper's existing .tex files, experiment logs, result files, and any provided context. Understand: title, contributions, methodology, key results, figures, tables.

Step 2: Write the Section

Load section-specific tips from references/section-tips.md. Before every paragraph, include a brief plan as a LaTeX comment (% Plan: ...).

Step 3: Two-Pass Refinement

Apply both refinement passes from references/refinement-prompts.md:

  • Pass 1: Fix errors (unenclosed math, broken refs, hallucinated numbers, duplicate labels)
  • Pass 2: Remove redundancies, compress, ensure smooth transitions

References

  • Section writing tips: ~/.claude/skills/paper-writing-section/references/section-tips.md
  • Refinement prompts and error checklist: ~/.claude/skills/paper-writing-section/references/refinement-prompts.md

Output

LaTeX fragment (no \documentclass, no preamble). All math enclosed in $...$ or \begin{equation}, all figures referenced with \ref{}, all cited works use \cite{}, no placeholder text.

Quality Checklist

  • All math enclosed properly
  • All \ref{} and \cite{} valid
  • No TODO/TBD/FIXME markers
  • Numbers match experimental logs exactly
  • Writing style is objective — no hype words
  • Section length appropriate for venue

Related Skills

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
369
Repository forks
40
7-day trend score
30

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 6 May 2026, 5 months ago.

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