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仓库/Skill 库
1448 个 · 学术写作
Parsifal 是一个辅助研究人员开展系统文献综述(SLR)的工具Parsifal is a tool to assist researchers to perform Systematic Literature Reviews
一个纯 Markdown 的 267-Skill 研究图谱——由 216 个单一用途步骤构建出 51 个研究操作,可任意组合并支持显式回溯。一次 npx 安装,无运行时,无 MCP 绑定。AI 是研究员,你来定方向。A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
自动化研究论文的发现与分析。例如,让计算机自动打开与任意 URL 论文最相似的文献,或找出在某数据集上报告结果的全部论文,重新定义文献综述Automating research publications discovery and analysis. For example, ever wish your computer could automatically open papers that are most similar to a paper at an arbitrary url? How about finding all papers that report results on some dataset? Let's re-imagine literature review.
降低学术论文 AIGC 查重率的 Claude Code Skill | A Claude Code skill for reducing AIGC detection rates in academic papers
Open Paper 是用于管理研究文献库的工作台,集阅读、批注与理解于一体,可借助 AI 助手开展文献综述Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.
一个面向英文学术写作的保守型 AIGC 检测器指导的论文改写 Skill。支持 Turnitin AI、CNKI AIGC、最小化编辑修订、保留学术要素、定性/定量路由,以及逐章降低 AI 写作风险,且不宣称绕过检测器。A conservative AIGC detector-informed thesis rewriting skill for English and Chinese academic writing. Supports Turnitin AI, CNKI AIGC, minimal-edit revision, protected academic elements, qualitative/quantitative routing, and chapter-by-chapter AI-writing risk reduction without detector-bypass claims.
面向学术论文的 AI 驱动后处理工具包 —— 格式校验、语法/风格润色、去 AI 化编辑、参考文献核查,以及审稿人风格的论文审查。提供 LaTeX、Typst 和 PDF 的 5 个 Skill。专注于提升已有文本质量,而非从零生成AI-powered post-writing toolkit for academic papers — format validation, grammar/style polishing, de-AI editing, reference checking, and reviewer-style paper audits. 5 skills for LaTeX, Typst & PDF. Focused on enhancing existing text quality, not generating from scratch.
🎯 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.
Claude skill,可基于 logo、文字或 emoji 生成 favicon、应用图标与社交媒体图片。支持 emoji 推荐、校验与框架自动集成。Claude skill to generate favicons, app icons, and social media images from logos, text, or emojis. Supports emoji suggestions, validation, and framework auto-integration.
[CVPR2024 (Highlight)] RichDreamer:一种可泛化的法线-深度扩散模型,用于生成细节丰富的文本到 3D 内容。Live Demo:https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC[CVPR2024 (Highlight)] RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. Live Demo:https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC
Semantic Scholar API 的非官方 Python 客户端库Unofficial Python client library for Semantic Scholar APIs.
为各类团队提供 368 个 AI skills、76 个专家 agent 和 859 个 stdlib Python 工具,覆盖工程、PM、市场、决策层、合规、业务运营与研究。可安装到 Claude Code、Cursor、Codex、Gemini、Copilot 等 6+ AI 助手。368 AI skills, 76 expert agents, and 859 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, and research. Installs on Claude Code, Cursor, Codex, Gemini, Copilot, and 6 other AI assistants.
拓扑不动点理论:由两个公理推导标准模型、α⁻¹ 与宇宙学的机器可验证离散编译器。包含论文、验证套件(Python/Wolfram/Lean)、实验及网站。Topological Fixed-Point Theory: a machine-checked discrete compiler for the Standard Model, α⁻¹, and cosmology from two axioms. Papers, verification suite (Python/Wolfram/Lean), experiments & website.
OpenSkills:使用任意 LLM 在本地运行 Claude Skills。OpenSkills: Run Claude Skills Locally using any LLM
将 AI 生成的文本轻松转换为正式、类人、学术化的写作风格,规避 AI 检测器!Transform AI-generated text into formal, human-like, and academic writing with ease, avoids AI detector!
端到端人文学科写作助手——一个 Agent Skill(开放的 SKILL.md 格式)。提供 11 种模式,从苏格拉底式研究问题打磨到 AI 使用披露。中英双语(EN/中文),具备学科感知能力(文学/历史/哲学/艺术/宗教/语言学+跨学科)。四层批评、可校准的魔鬼辩护人、声音保留。End-to-end humanities writing assistant — an Agent Skill (open SKILL.md format). 11 modes from Socratic research-question sharpening through AI-use disclosure. Bilingual (EN/中文), discipline-aware (literature/history/philosophy/art/religion/linguistics + cross-disciplinary). Four-layer critique, calibratable devils advocate, voice preservation.
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
面向新闻、媒体与学术界的 Claude Code skills,涵盖核查、FOIA、数据新闻与学术写作等场景。Claude Code skills for journalism, media, and academia - verification, FOIA, data journalism, academic writing, and more
一个为数据添加"人味"的 JS 库。A JS library for adding a “human touch” to data.
Findpapers:帮助研究人员查找相关文献的工具Findpapers: A tool for helping researchers who are looking for related works
差分隐私联邦学习系统综述(ACM Survey);Adap dp-fl:自适应噪声的差分隐私联邦学习(TrustCom'2022)Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)
一款 Swift、多标签、现代 UI 的人性化文件资源管理器。A Swift, Multi-Tabbed, Modern UI and Humanized File Explorer.
预训练基础推荐模型论文清单Paper List of Pre-trained Foundation Recommender Models
最佳的静态 AI 文本 humanizer。两个基于研究的、与 LLM 无关的 Skill,让 AI 写作听起来自然且具亲和力。九大杠杆,50+ 同行评审来源,覆盖 2024-2026 年检测文献。Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and relatable. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.
"Humanizer" 规则集,让 AI 文本更锐利、具备 genre 感知能力,包含具体锚点与 self-auditing 工作流"Humanizer" rules that make AI text sharper, genre-aware, with concrete anchors and self-auditing workflow
一个 R 包,可通过友好、现代的界面创建多种输出格式的样式化表格。An R package to create styled tables in multiple output formats, with a friendly, modern interface.
面向医学研究的 Agent Skills——文献检索、报告规范与引用核查、统计、发表图表、投稿。兼容 Claude Code、Codex、Cursor 与 GitHub Copilot。由医师-研究者构建,在真实发表论文上验证。MIT 协议。Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.