← Open Source
M1n-n9

paper-lifecycle

Codex skill for full academic paper lifecycle analysis and revision.

ApplicationsResearch & knowledge
Open on GitHub
Momentum
+0stars in 24 hours0.0%
696
Stars
38
Forks
+4
This week
1
Contributors
Created 2026-06-15 · Updated 2026-10-13 · #14872 today
Top developers
M1n-n9

M1n-n9/paper-lifecycle is ranked 14,872 with 696 stars.

Same-category comparison

M1n-n9/paper-lifecycle is ranked 14,872 among these 8 peers; alfianlosari/ChatGPTSwiftUI is ranked 14,873.

Same-category comparison
NameRankMetrics
eat-pray-ai/yutu14,842
Language:
Go
Stars:
699
Forks:
84
Description:
CLI, MCP server, and AI agent to automate YouTube workflows.
gensyn-ai/codeassist14,853
Language:
Python
Stars:
698
Forks:
123
Description:
A completely private and local AI coding assistant, developed by Gensyn. It helps you practice programming problems and train a novel assistant to help you code.
steven-tey/extrapolate14,859
Language:
TypeScript
Stars:
698
Forks:
120
Description:
Age transformation AI app powered by Next.js, Vercel, Replicate, Upstash, and Cloudflare R2 + Workers.
EurekaClaw/EurekaClaw14,860
Language:
Python
Stars:
697
Forks:
72
Description:
The official repo of EurekaClaw.
alfianlosari/ChatGPTSwiftUI14,873
Language:
Swift
Stars:
696
Forks:
103
Description:
A ChatGPT native iOS, macOS, watchOS, tvOS SwiftUI Application.
tracefinity/tracefinity14,876
Language:
Python
Stars:
696
Forks:
101
Description:
Generate custom gridfinity bins with AI, from photos of your tools.
xynehq/xyne14,877
Language:
TypeScript
Stars:
696
Forks:
70
Description:
AI-first Search & Answer Engine for work. Open-source alternative to Glean.
Amery2010/peinture14,878
Language:
TypeScript
Stars:
695
Forks:
272
Description:
A general-purpose AI image generation framework that supports Hugging Face, Gitee, Model Scope, and more.
Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryApplications
SubcategoryResearch & knowledge
KeywordsDocument understanding, Research, Writing
Stars696
Forks38
Contributors1
Created date2026-06-15
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days4
Rank14,872
Previous rank14,710
Rank change-162
7-day stars rank6,407
Previous 7-day stars rank4,867
7-day stars rank change-1,540
Total stars rank14,947
Previous total stars rank14,915
Total stars rank change-32
README summary

The repository root is documentation only. The actual installable skills are two sibling directories: Skills **Review Revision** Path: Purpose: reviewer-style diagnosis and revision planning for an existing manuscript, draft, rejected paper, or paper idea with a concrete direction. It checks whether the problem is real, the insight is defensible, the novelty holds, the method serves the mechanism, the experiments support the claims, and the writing guides reviewers through the argument. Use it for: PDF, LaTeX, Word, or Markdown manuscript

diagnosis A-tier, journal, or workshop submission checklists section-level revision for introduction, related work, method, and experiments theory, statistics, reproducibility, figures, and table audits Prompt: **Rebuttal Response** Path: Purpose: review-response and rebuttal planning. It turns reviews into a decision-ready evidence package for the AC: which concerns can change the decision, which reviewers are persuadable, what evidence to add, how to write an AC-facing summary, how to draft per-reviewer responses, and how to correct factual misunderstandings

without sounding hostile. Use it for: triaging reviews and ranking concerns writing an AC-facing executive summary responding to novelty, baseline, experimental setup, method motivation, scope, and factual-error objections removing excessive apology, defensiveness, vague promises, and hostile wording producing a rebuttal checklist and camera-ready promise list Prompt: Codex Installation Clone the suite into a normal directory, then link each skill into the Codex skills directory. Windows PowerShell: macOS / Linux: Claude / Claude Code / Other Agents If you are not

using the Codex skill loader, ask the agent to read the relevant skill directory directly. Review Revision: Recommended prompt: Rebuttal Response: Recommended prompt: Repository Structure

Frequently asked questions

How many stars and forks are recorded?

M1n-n9/paper-lifecycle has 696 stars and 38 forks.

What is the repository rank?

M1n-n9/paper-lifecycle is ranked 14,872.

Which repository is closest in rank?

M1n-n9/paper-lifecycle is compared with alfianlosari/ChatGPTSwiftUI, ranked 14,873 with 696 stars.

Nearby in the ranking
Similar items