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Skills/Backend & APIs
ar9av avatar

Section Writing Agent

ar9av/paperorchestra

This is the fourth step in the PaperOrchestra pipeline that generates a complete LaTeX manuscript in a single multimodal LLM call.

GitHub stars
572
last updated
Jun 2, 2026
View on GitHubSave

Install

$ npx -y skills add ar9av/paperorchestra --skill section-writing-agent --agent claude-code

Installs into .claude/skills of the current project.

Sponsors

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What it does

It drafts the methodology, experiments, abstract, and conclusion sections, parses numeric results from experimental logs into booktabs tables, embeds figures generated in step 2, and merges everything into the template that already has your intro and related work. The implementation is careful about preserving existing content verbatim and includes deterministic gates to catch orphan citations and LaTeX syntax errors before passing to the refinement stage. It reads a TeX profile to know which packages are available so it generates compatible cross-references and formatting patterns. The single-call design is intentional for maintaining coherence across sections, and it uses vision input to ground figure references in what the images actually show.

Files

Select a file.

Details

Repository
github.com/ar9av/paperorchestra
Categories
Backend & APIs, DevOps & CI/CD, Documentation, AI & Agent Building, Data Science & ML, Automation & Workflows, Sales & Marketing
First seen
Jun 11, 2026

More from ar9av/paperorchestra

All 9
  • Agent Research Aggregator
  • Content Refinement Agent
  • Literature Review Agent
  • Outline Agent
  • Paper Autoraters
  • Paper Orchestra
  • Paper Writing Bench
  • Plotting Agent

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