面向学术写作、自动化、专业工作流等的自定义 Skill 集合,并将持续扩展。A collection of custom skills for academic writing, automation, specialized workflows, and more to come.
仓库/Skill 库
494 个
📄 自动从 PDF 中提取 BibTeX 条目,无需手动输入或调用外部 API 即可生成完整参考文献列表。📄 Extract BibTeX entries from PDFs automatically, generating a complete bibliography without manual input or reliance on external APIs.
论文 PDF 知识提取与学术写作 — Claude Code PluginPaper PDF Knowledge Extraction and Academic Writing – Claude Code Plugin
自动检查 BibTeX .bib 文件的样式规范性(借助 CTAN 的 bibcop)Automated checking of BibTeX .bib files for style correctness (with the help of bibcop from CTAN)
Claude Code 学术研究防幻觉插件。严格 FSM + 10 源 PDF 级联 + 首页防同名歧义 + 19 条不变量 + 每条引用审计。与 Vault 解耦(Obsidian/扁平目录/Zotero)。MIT 许可。Anti-hallucination plugin for academic research in Claude Code. Strict FSM + 10-source PDF cascade + page 1 anti-homonymy + 19 invariants + per-citation audit. Vault-agnostic (Obsidian/flat/Zotero). MIT.
运行在你 PC 上的开源 AI 内容工厂——自动发现主题、调研、撰写、多模型 QA 审核并发布。基于 Ollama 本地优先,$0 API 成本。The open-source AI content factory that runs on your PC — discovers topics, researches, writes, reviews with multi-model QA, and publishes. Local-first via Ollama, $0 API costs.
🚀 通过 70 个生成式 AI 实战项目转型技能,从入门到生产级架构师,涵盖真实场景应用。🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.
🤖 基于 AI 分析与智能搜索,定制化发现 ArXiv 上你感兴趣的最新论文🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.
AI-Factory — 自主流水线,自动设计、构建、测试并发布产品。AI-Factory — autonomous pipeline that designs, builds, tests, and publishes products.
一个可复现的 Hermes Agent 研究运行时,用于系统性文献综述、全文证据抽取、方法路由以及可审计的发表产出。A reproducible Hermes Agent research runtime for systematic literature reviews, full-text evidence extraction, methodological routing, and auditable publication artifacts.
一套不断壮大的 Agent Skill 家族,面向严谨、上下文感知的学术写作、同行评审与学术出版工作流。A growing family of agent skills for rigorous, context-aware academic writing, peer review, and scholarly publishing workflows.
基于 Tectonic 的超快离线 La/TeX 编译 API,部署于 Hugging Face SpacesA blazingly fast API for compiling La/TeX offline with Tectonic, hosted on Hugging Face Spaces.
基于 Keystone 构建的开发者友好型书籍发布模板,为精简变体——项目体积小,使用公共 Docker 镜像。Developer-friendly book publishing template built on Keystone. Slim variant — minimal project footprint, uses a public Docker image
遵循中文学术写作规范的学术 humanizer。Fork 自 AIScientists-Dev/academic-humanizer。Academic humanizer with Chinese academic writing rules. Fork of AIScientists-Dev/academic-humanizer.
Comic Sol —— 以本地优先的 AI 漫画生产,作为 Codex Skill、Python CLI 和 MCP 服务器。Comic Sol - local-first AI comic production as a Codex Skill, Python CLI, and MCP server.
基于 Zotero 的文献综述助手,支持基于原文的 PDF 抽取、声明验证、内容综合及 Semantic Scholar 检索Zotero-based literature review assistant for grounded PDF extraction, claim verification, synthesis, and Semantic Scholar search.
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.
原生 LaTeX 的修订追踪,面向人类与 AI 辅助审阅。LaTeX-native track changes for human and AI-assisted review
A field-adaptive academic writing Skill for Chinese and English research papers. | 面向中英文学术论文的领域自适应写作 Skill。
本地 LaTeX 项目与 Overleaf 之间可靠的双向同步。Reliable bidirectional synchronization between local LaTeX projects and Overleaf
ITMO University 本科毕业论文:面向 IoT 设备的能效边缘 AI 语音识别。ITMO University bachelor thesis on energy efficient edge ai voice recognition for IoT devices
空间智能工作站——53 路实时 OSINT 数据源,基于 PostgreSQL+pgvector 的 FollowTheMoney 实体图谱,9 阶段多 Agent 编排器(4 层防幻觉防护)、贝叶斯信源裁定、W3C PROV 证据 DAG、GNN 流水线(GAT+T-GCN+FedAvg+DP-SGD),3 节点 Ed25519 认证网格,通过 NVIDIA NIM Cascade 实现 24 小时自动简报Spatial intelligence workstation — 53 live OSINT feeds, FollowTheMoney entity graph on PostgreSQL+pgvector, 9‑phase multi‑agent orchestrator with 4‑layer anti‑hallucination guards, Bayesian source adjudication, W3C PROV evidence DAG, GNN pipeline (GAT+T‑GCN+FedAvg+DP‑SGD), 3‑node mesh with Ed25519 auth, automated 24h briefing via NVIDIA NIM Cascade
面向 Claude Code 的 IMRAD 学术写作全生命周期插件。持久化的 .writing/ 状态、主张优先验证、Zotero 双源真相、由子 Agent 驱动的撰稿流程。IMRAD academic-writing lifecycle plugin for Claude Code. Persistent .writing/ state, claim-first verification, Zotero dual-source-of-truth, subagent-driven drafting.
CorePapers - 面向留学生的 AI 学术写作助手CorePapers - AI Academic Writing Assistant for International Students
面向 Kubernetes 环境的 air-gapped RAG pipeline。在 LibreChat/LiteLLM/Keycloak/vLLM 之上增加文档摄取、强制的分类/可发布性标签、策展人审核与基于声明的访问控制检索,并以自定义 MCP 工具的形式对外暴露。Air-gapped RAG pipeline for Kubernetes environments. Adds document ingestion, mandatory classification/releasability tagging, curator review, and claims-based access-controlled retrieval on top of LibreChat/LiteLLM/Keycloak/vLLM — exposed as a custom MCP tool.
🐙 AI Agent Pipeline 基于意图将查询路由至文档、天气或聊天模块,结合 LangGraph、ChromaDB 与 LangSmith,实现跨 CLI 与 UI 的模块化、可观测工作流🐙 AI Agent Pipeline routes queries by intent to docs, weather, or chat, with LangGraph, ChromaDB, and LangSmith for modular, observable workflows across CLI and UI.
一条 RAG pipeline,从 Stack Overflow 抓取问答内容并转化为 RAG 格式,存储到 huggingface 数据集中。This is RAG pipeline that take question answer from Stack Overflow and convert it to rag and get stored in the dataset in huggingface
使用 ConsensusMind 这一自主 AI Agent 对区块链共识机制进行全面深入的研究,涵盖文献综述、模拟与学术写作。🤖 Conduct thorough research on blockchain consensus mechanisms with ConsensusMind, an autonomous AI agent for literature review, simulations, and academic writing.
用知识图谱刻画 AI/ML 模型从创建到部署的完整生命周期。Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.
面向 Zed 的智能代码库搜索与索引。异步 MCP server,支持 LanceDB/BM25 混合搜索、多桶 RAG 以及自主 self-healing workflow。高性能、内存安全,可直接用于生产代码。Intelligent codebase search & indexing for Zed. Async MCP server featuring LanceDB/BM25 hybrid search, multi-bucket RAG, and autonomous self-healing workflows. High-performance, memory-safe, and ready for your production code.
首个内置 MCP(server + client)的语言;Semantic Pipeline Runtime 提供 198 个内建函数、AI pipeline、沙箱化 Agent,单一二进制约 7 MB,零依赖。The first language with built-in MCP (server + client). Semantic Pipeline Runtime: 198 builtins, AI pipelines, sandboxed agents, single ~7 MB binary, zero dependencies.
1,716 道 AI/ML 面试题(含答题框架)、69 张架构图、按角色的学习路径,以及语音驱动的模拟面试工具。覆盖 LLM、RAG、agent、MCP/A2A、系统设计、MLOps、安全与云部署。1,716 AI/ML interview questions with answer frameworks, 69 architecture diagrams, role-based study paths, and a voice-enabled mock interview simulator. Covers LLMs, RAG, agents, MCP/A2A, system design, MLOps, safety and cloud deployment.