sunnnybala

sunnnybala / Rstack

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Research automation skills for Claude Code. Idea to submittable paper in one session.

arxiv claude-code latex llm-tools machine-learning
16
3
100% credibility
Found Apr 03, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

RStack is a collection of skills for Claude Code that automates the research pipeline from idea generation to producing a formatted academic paper.

How It Works

1
💡 Discover RStack

You hear about RStack from a friend, a handy set of helpers for your AI assistant that turns research ideas into ready-to-submit papers, saving hours of grunt work.

2
📥 Add to your tools

You follow simple steps to place RStack into your AI assistant's skills folder, taking just 30 seconds.

3
⚙️ Get everything ready

You run a quick setup command to share your paper style preferences and connect cloud helpers for experiments, making it all yours.

4
Pick your path
🔄
Full pipeline

Type your big research idea and let it handle everything step by step.

🧩
Single helpers

Use one tool at a time, like checking novelty or making figures.

5
📖 Review progress

You check summaries of papers found, novelty scores, and experiment plans, approving each part before moving on.

6
☁️ Experiments run smoothly

Your AI creates tests, runs them on powerful online computers, and brings back results with charts and stats.

🎉 Paper ready to share

You get a beautifully formatted paper with citations, figures, and PDF, ready for submission and celebration.

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AI-Generated Review

What is Rstack?

Rstack is a Shell-based toolkit of skills for Claude Code that automates research from idea to submittable paper in one session. Type `/research "your topic"` and it chains lit reviews, novelty checks, cloud GPU experiments via Modal, result analysis, and venue-formatted LaTeX papers using tectonic. It slashes grunt work like paper hunting and GPU provisioning, leaving thinking to you—work products land as editable files in your repo.

Why is it gaining traction?

Unlike heavier research automation tools with custom backends, Rstack runs pure on Claude Code skills with zero infra, installing in 30 seconds and using direct Modal CLI for compute. Human checkpoints at every step prevent hallucinated disasters, and opt-in telemetry keeps it privacy-focused. Devs dig the pipeline hooks over alternatives like Karpathy's AutoResearch (experiments only) or complex platforms needing Postgres.

Who should use this?

PhD students cranking ML papers under deadlines, solo researchers needing github research tools for lit reviews and experiments, or teams exploring research automation ai in github research repos. Ideal for those already on Claude Code wanting research automation orchestration without deployment tradeoffs.

Verdict

Early alpha (16 stars, 1.0% credibility) with solid docs and MIT license, but skip unless you're prototyping research automation—test on toy ideas first. Promising for Claude users; watch for v1 stability.

(187 words)

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