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AI EngineeringPython

Paper Daily

by cabbage2000-lab

Paper Daily is an AI Engineering skill for Claude Code, published by cabbage2000-lab in paper-tutor-skills.

18 stars5 forkson cabbage2000-lab/paper-tutor-skillsAdded 2026/08/11+38% in starsRepository updated 2026/08/04
academic-integrityacademic-writingai-agentchinesecitation-verificationclaude-codeclaude-pluginclaude-skillscodexliterature-reviewresearchthesis-writing
Install in seconds
Install Paper Daily
Copy Paper Daily 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/cabbage2000-lab/paper-tutor-skills/tree/main/skills/paper-daily ~/.claude/skills/paper-daily

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/cabbage2000-lab/paper-tutor-skills.git

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

In this catalog

Source file
skills/paper-daily/SKILL.md in cabbage2000-lab/paper-tutor-skills
Installs to
~/.claude/skills/paper-daily
Collection
One of 24 skills cataloged from this repository
Category
AI Engineering2451 skills

What Paper Daily does

Helps researchers check if their idea has been scooped and browse daily new papers via arXiv and user-submitted sources. Presents objective concept overlap analysis, leaving decisions to the user.

Paper Daily is cataloged under AI Engineering on DirSkills. Paper Daily comes from a repository tagged academic-integrity, academic-writing, ai-agent, chinese and citation-verification.

Documentation

README

paper-daily:每日学术雷达(抢发检测 + 新发泛读)

帮用户每天做两件事:确认手头的研究想法是不是已被人抢发 + 泛读该方向的新发论文。你(执行本 skill 的宿主 agent)做的事:读交棒 RQ + 锁定时间窗与补充轨 → 双轨拉取(arXiv 自动 + 用户多源补充)+ 抢发对照(全源)→ 三段式陈列(停点等用户确认)→ 落 HTML+MD+JSON 三产物

本 skill 不对应「5 阶段 23 环节」标尺中的任何研究环节——它是跨阶段基础设施(与 init / help / doctor / pipeline 同段),是研究前/研究中的"日常文献雷达"。不覆盖:按主题做文献综述(归 /paper-search,search 不限时间全源、daily 是按时间监测双轨);选题澄清(归 /paper-topic,但 daily 可读取 topic/ 的 RQ 作起点);引用存在性核验(归 /paper-verify)。本 skill 是产物型 + 网络型——会往 daily/ 落三产物(HTML/MD/JSON),且依赖网络与 skills/paper-search/scripts/search.py

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

Commands Paper Daily provides

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

  • /paper-search
  • /paper-topic
  • /paper-verify
  • /paper-init
  • /paper-doctor

Frequently asked about Paper Daily

  • What else does cabbage2000-lab publish alongside Paper Daily?

    Paper Daily is one of 24 skills that DirSkills catalogs from cabbage2000-lab/paper-tutor-skills, the repository it ships in. Its siblings there include Paper Abstract, Paper Anchor and Paper Disclose. Each one is a separate skill with its own page in this directory, installs the same way Paper Daily does, and is maintained by cabbage2000-lab in that same repository. The rest of the collection is listed on the cabbage2000-lab/paper-tutor-skills page.

  • How does Paper Daily compare to other AI Engineering skills?

    Paper Daily ranks #2379 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 Paper Daily against them. Open each page to compare what they document and how they install.

More from cabbage2000-lab/paper-tutor-skills

Paper Daily is one of 24 skills cataloged on DirSkills from cabbage2000-lab/paper-tutor-skills.

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Paper Disclose

Assembles AI usage disclosure for academic papers by compiling real usage traces from .paper/ into a four-level assistance report with reader labels for advisors, journals, and AIGC review. Use when asked to generate an AI usage statement or disclosure.
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Paper Draft

Drafts academic paper sections from an outline and literature notes, with user approval per paragraph, style mimicry from samples, and citation anchoring to prevent data fabrication.
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Paper Figure

Provides dual-mode assistance for academic figures: a diagnostic mode to review existing charts across five dimensions, and a design suggestion mode to help select chart types, captions, color schemes, and tools. Helps researchers ensure clarity and correctness in visual data presentation.
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