Paper Writing

wanshuiyin/auto-claude-code-research-in-sleep

Chains five sub-skills into a single pipeline that takes a research narrative and outputs a submission-ready PDF with LaTeX source. Runs through outline generation, figure creation, section-by-section writing, compilation, and two rounds of automated review and polish. You can configure the target venue (ICLR, NeurIPS, IEEE, etc.), pass a style reference to match structural patterns from papers you like, and set an assurance level that gates the final output on passing proof checks and claim audits. The pipeline runs autonomously by default but you can pause between phases or flag human checkpoints in the review loop. Useful when you have experimental results documented and want to skip the manual LaTeX grinding, or when you need a solid first draft fast enough that you can spend your time on the science instead of wrestling with figure placement and bibliography formatting.

skills.sh installs: 595
GitHub stars: 18.9K
last updated: Aug 21, 2026

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Install

$ npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill paper-writing --agent claude-code

Installs into .claude/skills of the current project.

Files

Workflow 3: Paper Writing Pipeline

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Writer selection is separate; follow the writing-worker guidance below when drafting or revising prose.

Orchestrate a complete paper writing workflow for: $ARGUMENTS

Overview

This skill chains five sub-skills into a single automated pipeline:

/paper-plan → /paper-figure → /paper-write → /paper-compile → /auto-paper-improvement-loop
  (outline)     (plots)        (LaTeX)        (build PDF)       (review & polish ×2)

SKILL.md on GitHub

Details

Repository: github.com/wanshuiyin/auto-claude-code-research-in-sleep
Categories: DevOps & CI/CD, Documentation, Data Science & ML, Automation & Workflows, Sales & Marketing, Office & Documents
First seen: Jun 3, 2026