仓库/Skill 库

提升你的 AI 研究写作，不再繁琐润色 ✨Elevate your AI research writing, no more tedious polishing ✨

:page_facing_up: Awesome CV 是用于打造出色求职简历的 LaTeX 模板:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

这份写作提示列表涵盖多种主题与任务，包括头脑风暴研究思路、改进语言与风格、进行文献综述以及制定研究计划。This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法

一组使用 LaTeX 编写的简历模板。如果你的语言不受支持，请提交 issue！:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

面向机器码的程序分析研究综述Survey of program analysis research with a focus on machine code

最全面的 Claude Code skills 注册中心 | Web 搜索：https://majiayu000.github.io/claude-skill-registry-core/The most comprehensive Claude Code skills registry | Web Search: https://majiayu000.github.io/claude-skill-registry-core/

🎯 权威合集，收录 50+ 经过验证的 Awesome Claude Skills，覆盖 Claude Code、Claude.ai 与 API。通过 TDD、调试、git 工作流、文档处理等提升生产力。由社区驱动并持续维护。🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost productivity with TDD, debugging, git workflows, document processing, and more. Community-driven, actively maintained.

Posit 提供的 Claude Skills 合集。A collection of Claude Skills from Posit

精选的可复现研究案例、项目、教程与媒体资源列表。A curated list of reproducible research case studies, projects, tutorials, and media

预训练基础推荐模型论文清单Paper List of Pre-trained Foundation Recommender Models

[TOSEM 2026] 大语言模型在自动化程序修复中的系统文献综述[TOSEM 2026]A Systematic Literature Review on Large Language Models for Automated Program Repair

Large Language Models for Software Engineering: A Systematic Literature Review（面向软件工程的大语言模型：系统文献综述）Large Language Models for Software Engineering: A Systematic Literature Review

[TOSEM'26] Awesome-LLM4SVD，源自论文"A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models"。[TOSEM'26] Awesome-LLM4SVD from "A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models"

AI 驱动的文献综述工具利用机器学习加速并加强识别、分析与综合相关研究的学术流程。AI-powered literature review tools leverage machine learning to expedite and enhance the scholarly process of identifying, analyzing, and synthesizing relevant research.

对 GHC 核心语言 System FC 的文献综述。Literature review of GHC's Core language, System FC

一个专为辅助研究活动而精选的 AI 工具列表，涵盖文献综述、引文管理、数据分析等工具，面向希望借助 AI 提升研究工作流的研究人员、学生和从业者。A curated list of AI tools specifically designed to assist in research activities, including tools for literature reviews, citation management, data analysis, and more. This repository is intended for researchers, students, and professionals who want to leverage AI to enhance their research workflows.

面向分布式系统中故障检测的文献综述。Literature Review for Fault Detection in Distributed Systems

顶级会议与期刊（含 IEEE Trans、ACM journals、IoTJ 等）中通感一体化（ISAC）论文的精选列表，按属性分为文献综述、理论研究、技术应用、白皮书等类别。A curated list of Integrated Sensing & Communications (ISAC) publications in Top-tier Conferences and Journals, included IEEE trans, ACM journals, IoTJ, etc. We have roughly categorized the following papers according to their attributes as Literature Review, Theoretical Research, Technical Applications, White Papers, and so on.

最新营销趋势：数据驱动、自动校验的文献综述Latest marketing trends: data-driven, auto-validated literature review (AI & generative marketing, digital/performance, social & creator, privacy-first data, analytics/MMM, B2B/ABM, CX & retail)

系统综述：探讨 AI 如何通过前沿研究、实践应用与未来方向，增强商业分析与组织决策。A systematic review exploring how Artificial Intelligence enhances Business Analytics and organizational decision-making through contemporary research, practical applications, and future research directions.

涵盖项目开发、研究、公共卫生与政策领域的数据分析、统计分析与数据可视化项目精选集A collection of selected data analytics, statistical analysis, and data visualization projects developed across project development, research, public health, and policy.

存储 UC Berkeley 本科阶段个人项目与个人研究的仓库，主题涵盖机器学习、统计建模与统计分析。This is a repository storing personal projects or individual research done throughout the undergrad of UC Berkeley. The topic include machine learning, statistical modeling, and statistical analysis

我的 GitHub 个人主页，涵盖生物信息学、结构建模与可复现性研究Bioinformatics, structural modelling, and reproducible research — my GitHub profile.

ORR – 开放与可复现研究：实践与工具。ORR – Open and reproducible research: practices and tools

加密货币/数字资产研究，包含链上分析、DeFi 流动性、协议风险以及可复现研究工具。crypto/digital-assets research, on-chain analytics, DeFi liquidity, protocol risk, and reproducible research tooling.

research questions、evidence maps、implementations 及可复现的工程 case studies。Research questions, evidence maps, implementations, and reproducible engineering case studies.