Section Writing Agent
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018).
Install
npx skills add Ar9av/PaperOrchestra --skill section-writing-agent -g -a claude-code -y- Repository
- Ar9av/PaperOrchestra694
- Category
- AI and agents
- Updated
- 24d ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".
Section Writing Agent (Step 4)
Faithful implementation of the Section Writing Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 4, App. F.1 pp. 47, 49).
Cost: ONE LLM call (App. B: "Section Writing Agent (1 call): A single, comprehensive multimodal call to draft and compile the complete LaTeX manuscript"). Do NOT split this into per-section calls, the paper explicitly designs it as one comprehensive call so the model can maintain global coherence across sections.
Inputs
workspace/outline.json, the master planworkspace/inputs/idea.md, technical detailsworkspace/inputs/experimental_log.md, raw data for tables and qualitative analysisworkspace/drafts/intro_relwork.tex, the template with Intro + Related Work already filled in by Step 3. This is your starting point. The preamble, package list, style, and the two pre-filled sections must be preserved verbatim.workspace/citation_pool.json, the citation map ({key, title, abstract}for each verified paper)workspace/refs.bib, the BibTeX fileworkspace/inputs/conference_guidelines.md, formatting rulesworkspace/figures/, the actual PNG files from Step 2 (used as multimodal vision input!)workspace/figures/captions.json, caption text per figure_idworkspace/tex_profile.json, TeX package availability flags (written bycheck_tex_packages.pyat Step 0). Read this before generating any LaTeX. It tells you which packages are installed so you select the right cross-reference pattern, font packages, etc. before you write, not after you try to compile.
Output
workspace/drafts/paper.tex, the complete LaTeX paper, with all sections filled. The Step 5 Refinement Agent will iterate on this file.
How to do it
0.5. Read tex_profile.json and select LaTeX patterns
Before composing the prompt, read workspace/tex_profile.json and apply
these rules to every LaTeX choice in the generated paper:
