RichradsY

RichradsY / PaperSprint

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PaperSprint: Scrum-inspired paper agent skill for review, revision, and R&R

academic-paper academic-writing codex-agent codex-skill manuscript-review
18
1
100% credibility
Found Mar 19, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

PaperSprint provides a structured, sprint-based workflow for AI assistants to guide the iterative review, revision, and refinement of academic papers.

How It Works

1
📰 Discover PaperSprint

You find this helpful guide that turns messy paper polishing into organized rounds of improvement, like team sprints for writing.

2
📥 Add to your AI buddy

You easily add this paper helper to your favorite AI writing assistant so it's ready to use in chats.

3
🚀 Kick off your paper sprint

You tell the AI about your paper's target journal, current stage, goals, and files, and it starts by planning the whole journey.

4
🔍 Get smart review and plan

The AI estimates how many improvement rounds you'll need and dives into the biggest issues first, like framing or evidence.

5
📝 Review changes and refine

You see detailed feedback, a list of next fixes, and progress notes, then repeat rounds to make your paper stronger.

6
♻️ Loop through sprints

Keep going round by round, adjusting focus as risks shrink, until the AI says it's nearing readiness.

✅ Final polish and submit

You give it a personal once-over for facts and feel, then confidently submit your sharpened paper.

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AI-Generated Review

What is PaperSprint?

PaperSprint is a Scrum-inspired agent skill for Codex that turns academic paper review, revision, and R&R into structured sprints. You install it via a simple GitHub script, then trigger it with prompts specifying your paper's venue, stage, and goals—it estimates sprint counts, runs intakes, generates backlogs, and iterates on critiques or amendments. Multilingual docs in English, Chinese, and French make it accessible for global researchers polishing manuscripts.

Why is it gaining traction?

It stands out by imposing a predictable Scrum workflow on messy paper editing, with heuristics for sprint estimates based on draft maturity and venue fit, plus artifacts like review memos and retrospectives that keep progress traceable. Developers in AI-assisted writing dig the dynamic replanning and human gates that prevent over-reliance on AI outputs. Low stars (18) but sharp focus on real pain points like rebuttals sets it apart from generic editing tools.

Who should use this?

PhD students or profs prepping conference submissions like ECIS, handling revise-and-resubmit cycles, or converting theses to papers. It's for researchers who want agent-driven structure over one-shot AI polishes, especially in early drafts needing contribution framing or late-stage compliance checks. Skip if you're doing casual blog posts—not built for that.

Verdict

Promising niche skill for paper agents, with solid docs and examples, but 1.0% credibility score and 18 stars signal early maturity—test it on a side project first. Worth a spin if Codex is your stack; pair with human review to shine.

(178 words)

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