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organized/repo_cards · 学术方向;旧书签仍可访问,新统计不再使用这些字段。
方向榜单 Legacy
01
pedrohcgs/claude-code-my-workflow
一套开箱即用的 Claude Code 学术模板,基于 LaTeX/Beamer + R,支持多 Agent 评审、质量门禁、对抗式 QA 与复现协议。A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
1,527 ★
02
u9401066/med-paper-assistant
可审计的 MCP + 跨 Agent 框架,支持自主与人工引导的学术写作——从经验证的证据到已审校的 DOCX/PDF。Auditable MCP + cross-agent harness for autonomous and human-guided academic writing—from verified evidence to reviewed DOCX/PDF.
11 ★
03
skymanbp/sci-paper
Claude Code 插件,用于科学论文写作、来源可追溯的审稿与去 AI 化润色。在统一类型化标准下汇聚 8 项 skill + 24 个工具:不可豁免的完整性阻断项、零目标 L0 词库、分级告警以及显式测量状态,避免缺失校准被误读为通过。针对 ApJ/MNRAS/PRD/JCAP 级期刊稿件进行了语料校准。Claude Code plugin for scientific paper writing, source-traced review, and de-AI rewriting. 8 skills + 24 tools under one typed standard: non-waivable integrity blockers, zero-target L0 lexicon, ranked advisories, and explicit measurement states so missing calibration never reads as clean. Corpus-calibrated for ApJ/MNRAS/PRD/JCAP-class manuscripts.
3 ★
04
akaieuan/akaOSS
akaOSS studio——五个面向人在回路 AI 测量与开发者工具的开源项目,Assist-Not-Complete 论文,可复现研究信息流,以及 HITL Kit 的 shadcn registry。站点 akaoss.dev。The akaOSS studio — five open-source projects for human-in-the-loop AI measurement and developer tooling, the Assist-Not-Complete paper, a reproducible research feed, and the HITL Kit shadcn registry. Live at akaoss.dev.
2 ★
05
river-ya/Academic-Paper-Note-Template-for-Zotero-Better-Notes
Zotero Better Notes 双语学术风格文献笔记模板A bilingual, academically styled literature-note template for **Zotero Better Notes**, designed for structured reading, annotation aggregation, critical analysis, and reproducible research workflows.
1 ★
06
imReese/Karkinos
本地优先的量化投资平台,支持可复现研究、证据约束决策、风险控制、论文/影子验证以及人工监督执行Local-first quantitative investing platform for reproducible research, evidence-bound decisions, risk controls, paper/shadow validation, and human-supervised execution.
1 ★
07
drarunmitra/research-skills
面向 Claude、ChatGPT 和 Gemini 的科研工作流 skill:分析、学术写作、同行评审、引用、可复现性、教学。Research-workflow skills for Claude, ChatGPT, and Gemini: analysis, academic writing, peer review, citations, reproducibility, teaching.
1 ★
08
victorvanpelt/research_pipeline_slidedeck
《从原始数据到完稿论文:构建可复现研究流水线》演讲幻灯片,用于 WHU - Otto Beisheim School of Management 博士迎新周。Slides for 'From Raw Data to Finished Paper: Building a Reproducible Research Pipeline', a Doctoral Orientation Week session at WHU - Otto Beisheim School of Management.
0 ★
09
seeton/Voynich-public
面向 Voynich Manuscript 多尺度结构的可审计可复现研究。Audited reproducible research on multiscale structure in the Voynich Manuscript
0 ★
10
Samar-Khalid/Paper-1-NL2SQL-Ambiguity
论文一:NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact
0 ★
11
ruiwuniu/My-Academic-Skills
可复用的 Codex skills,涵盖文献综述、学术写作、数学推理、数值仿真以及可发表的图表。Reusable Codex skills for literature review, academic writing, mathematical reasoning, numerical simulation, and publication-ready figures.
0 ★
12
Pegi1727/Prompt-Skill-Matters-L2-Academic-Writing
论文《Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing》的复现材料、统计分析脚本与补充数据,AI 介导的 L2 写作研究开放科学资源。Replication materials, statistical analysis scripts, and supplementary data for the study 'Prompt Skill Matters: Examining GenAI Interaction and Writing Quality in L2 Academic Writing'. Open science resource for AI-mediated L2 writing research.
0 ★
13
matguo/Phyadv_pipeline
本仓库包含论文补充材料,旨在提升系统综述的透明度、可复现性与完整性,涵盖筛选文档、检索策略以及计算机视觉中物理对抗攻击的详细分析。This repository contains the supplementary materials accompanying our paper. The materials are designed to support the transparency, reproducibility, and comprehensiveness of the systematic review, including screening documentation, search strategies, and detailed analysis of physical adversarial attacks in computer vision.
0 ★
14
jakemorgan-research/codex-sci-research-lifecycle
可审计的 Codex skill 与 Python 项目包,用于证据可追溯的研究、系统综述、投稿与修订。Auditable Codex skill and Python project pack for evidence-traceable research, systematic reviews, submission, and revision.
0 ★