Auto Paper Improvement Loop

Auto Paper Improvement Loop is an AI Engineering skill for Claude Code, published by OpenLAIR in dr-claw.

1K stars116 forkson OpenLAIR/dr-clawAdded 2026/08/21Repository updated 2026/08/09

ai-agentsai-scientistauto-researchclaude-codeclaude-science-desktop-alternativeclaude-science-freeliterature-reviewpaper-writingresearch-assistant

Install in seconds

Install Auto Paper Improvement Loop

Copy Auto Paper Improvement Loop into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/OpenLAIR/dr-claw/tree/main/skills/aris-auto-paper-improvement-loop ~/.claude/skills/aris-auto-paper-improvement-loop

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenLAIR/dr-claw.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/aris-auto-paper-improvement-loop/SKILL.md in OpenLAIR/dr-claw
Installs to: ~/.claude/skills/aris-auto-paper-improvement-loop
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Auto Paper Improvement Loop does

Auto Paper Improvement Loop reviews a compiled paper with GPT-5.4, applies writing and consistency fixes, and recompiles it for up to two rounds. Use it to iteratively polish a generated paper after drafting.

Auto Paper Improvement Loop is cataloged under AI Engineering on DirSkills. Auto Paper Improvement Loop comes from a repository tagged ai-agents, ai-scientist, auto-research, claude-code and claude-science-desktop-alternative.

Documentation

README

Excerpt

Auto Paper Improvement Loop: Review → Fix → Recompile

Autonomously improve the paper at: $ARGUMENTS

Context

This skill is designed to run after Workflow 3 (/aris-paper-plan → /aris-paper-figure → /aris-paper-write → /aris-paper-compile). It takes a compiled paper and iteratively improves it through external LLM review.

Unlike /aris-auto-review-loop (which iterates on research — running experiments, collecting data, rewriting narrative), this skill iterates on paper writing quality — fixing theoretical inconsistencies, softening overclaims, adding missing content, and improving presentation.

Constants

This is the opening of the README. Read the full README on GitHub.

Commands Auto Paper Improvement Loop provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/aris-paper-plan
/aris-paper-figure
/aris-paper-write
/aris-paper-compile
/aris-auto-review-loop
/aris-auto-paper-improvement-loop

Frequently asked about Auto Paper Improvement Loop

What else does OpenLAIR publish alongside Auto Paper Improvement Loop?
Auto Paper Improvement Loop is one of 25 skills that DirSkills catalogs from OpenLAIR/dr-claw, the repository it ships in. Its siblings there include ARIS Infra, Ablation Planner and Academic Researcher. Each one is a separate skill with its own page in this directory, installs the same way Auto Paper Improvement Loop does, and is maintained by OpenLAIR in that same repository. The rest of the collection is listed on the OpenLAIR/dr-claw page.
How does Auto Paper Improvement Loop compare to other AI Engineering skills?
Auto Paper Improvement Loop ranks #1338 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Auto Paper Improvement Loop against them. Open each page to compare what they document and how they install.