仓库/Skill 库
372 个 · 应用 · 学术写作
推进并系统评估 BV-BRC Copilot,从研究问题和已发表方法生成、执行并复现生物信息学工作流。Advancing and systematically evaluating BV-BRC Copilot for generating, executing, and reproducing bioinformatics workflows from research questions and published methods.
用于生成文献综述的全栈系统,基于导入的数据构建,用户可自由选择 LLM。A full stack system use to generate literature review base on dataa imported, users can choose between llms.
Yaroslav Vasylenko —— AI 系统、验证工程、可复现研究与 agentic workflows。Yaroslav Vasylenko — AI systems, verification engineering, reproducible research, and agentic workflows.
学术研究引用管理与论文工具——即时获取洞察,不打断你的专注。立即下载,5 分钟内即可上手运行。Academic Research Citation Manager And Paper — instant insights without breaking your focus. Download now and be running in under 5 minutes.
基于证据的论文检索与推荐 Agent,面向复杂研究问题。Evidence-grounded paper search and recommendation agent for complex research questions.
基于多 Agent LLM 工作流的智能 AI 学术研究助手,可自动化完成学术论文发现、验证、文献分析、对比矩阵(含表格)、RAG 驱动的研究对话,并产出可直接用于稿件的文献综述An agentic AI academic research assistant that automates academic paper discovery, validation, literature analysis, comparison matrices with table, RAG-powered research chat, and manuscript-ready literature reviews using multi-agent LLM workflows.
基于 LangGraph、LangChain、Groq、ChromaDB 与 Streamlit 构建的多 Agent AI 研究助手,通过联网检索、获取 arXiv 论文、利用 RAG 索引 PDF 并生成有研究依据的回答,实现文献综述自动化Multi-agent AI Research Assistant built with LangGraph, LangChain, Groq, ChromaDB, and Streamlit. Automates literature review by searching the web, retrieving arXiv papers, indexing PDFs with RAG, and generating research-backed answers.
基于 n8n、Groq(Llama 模型)、Node.js、React 和 PostgreSQL 构建的多 Agent AI 研究流水线。用户提交研究问题后,由规划 Agent 拆解,由专业的研究/技术/成本 Agent 并行调查,由事实核查 Agent 验证,最终合成为带来源的结构化报告。A multi-agent AI research pipeline built with n8n, Groq (Llama models), Node.js, React, and PostgreSQL. A user submits a research question, which is broken down by a planning agent, investigated in parallel by specialized research/technical/cost agents, verified by a fact-checking agent, and synthesized into a structured report with sources.
面向 AI 饮食评估研究的 3 周入门计划:文献综述、分割、LLM 与 RAG。3-week onboarding plan for AI dietary assessment research: literature review, segmentation, LLMs, and RAG
NLP 案例研究NLP Case Study
Virastar — 面向生产环境的 Agent Skill,用于波斯语学术写作、校对与论文编辑,支持波斯语正字法、学术风格、术语一致性、XePersian/LaTeX 以及证据感知科学编辑Virastar — A production-oriented agent skill for Persian academic writing, proofreading, and thesis editing, with support for Persian orthography, academic style, terminology consistency, XePersian/LaTeX, and evidence-aware scientific editing.
Portable Agent Plugins 1.0 skill,支持 STAR 简历撰写、指标推断、XeLaTeX/PDF 排版、视觉 QA 与面试准备。Portable Agent Plugins 1.0 skill for STAR resume writing, metric inference, XeLaTeX/PDF typesetting, visual QA, and interview preparation.
对 LLM 文献筛选方法的受控双研究对比——RAG 与 zero-shot、自适应与被动选文——并以真实系统综述的真值标注进行评估。Controlled two-study comparison of LLM-based literature screening methods — RAG vs. zero-shot, and adaptive vs. passive paper selection — evaluated against real systematic review ground truth.
一个用于自动化文献综述、论文摘要和引文映射的多 Agent AI 系统。A multi-agent AI system for automated literature review ,paper summarization, and citation mapping.
Maziyar Bahrami 的个人主页——展示跨学科研究、专业经历、项目与科学写作。Personal website of Maziyar Bahrami — interdisciplinary research, professional experience, projects, and scientific writing.
面向探索的 Agentic 话语——自主 Claude 专家,研究、辩论、互评并综合回答研究问题。Agentic discourse for discovery — autonomous Claude specialists that research, debate, cross-rate, and synthesize answers to research questions
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.
将 Claude 连接至 Overleaf 的 MCP server,可在免费层读取、编辑、编译与恢复 LaTeX 项目。MCP server that connects Claude to Overleaf. Read, edit, compile and restore LaTeX projects on the free tier.
面向 Claude 的专业写作工坊(Cowork 与 Claude Code):26 种源文体,纯 Python 确定性护栏,严格内部风格规范,输出符合规范的 Word、PDF、HTML 与 LaTeX。支持法语。Atelier d'ecriture professionnel pour Claude (Cowork et Claude Code) : 26 genres sources, garde-fous deterministes en Python pur, style maison strict, sorties Word, PDF, HTML et LaTeX a la charte. En francais.
BYOK AI 科研工作台——提供科学写作、可编辑图表、PPT 生成与参考文献管理,支持 12+ 模型提供商。BYOK AI research workbench — scientific writing, editable figures, PPT generation, and reference management. Supports 12+ model providers.
促成深度协作讨论,让 AI Agent 与人类共同探索跨学科复杂研究问题。Facilitate in-depth collaborative discussions where AI agents and humans explore complex research questions across disciplines.
由 Claude 与 Gemini 驱动的学术写作工作空间。An Academic writing workspace powered by Claude and Gemini
仓库包含文章与 Excel 文件,收录系统综述《人工智能方法在实体瘤疗效评价标准中的应用》中的 CLAIM 与 FUTURE-AI 评估。Repository containing articles and Excel files with CLAIM and FUTURE-AI assessments for the systematic review Artificial intelligence approaches to the Response Evaluation Criteria in Solid Tumors: a systematic review.
基于 IQ 信号、采用 STFT 频谱图、视觉模型、k-fold 训练与集成推理的多节点 RF 无人机识别可复现研究工具包。A reproducible research toolkit for multi-node RF drone identification from IQ signals using STFT spectrograms, vision models, k-fold training, and ensemble inference.
一个轻量级、本地优先的桌面文献管理与引用工具,支持学术文献、元数据、笔记以及 BibTeX/BibLaTeX 工作流A lightweight, local-first desktop bibliography and citation manager for scholarly references, metadata, notes, and BibTeX/BibLaTeX workflows.
von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1 的复现材料与文献数据库Replication materials and literature databases for von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1.
研究问题与暂定方向Research Question and Provisional Lane
用于文献与系统综述的 AI agent 流水线,对齐 PRISMA 2020、Cochrane 与 GRADE。默认无需密钥(OpenAlex/CrossRef + 标准库);在 LLM 薄弱处设人工把关。An AI-agent pipeline for literature and systematic reviews, aligned with PRISMA 2020, Cochrane, and GRADE. Keyless by default (OpenAlex/CrossRef + stdlib); human-gated where LLMs are weak.
一个使用 OpenAI function calling 和 DuckDuckGo 搜索的网络搜索与研究问题回答 AI Agent。An AI agent that searches the web and answers research questions using OpenAI's function calling and DuckDuckGo search.
Thesis Helper:面向学术研究的自动化统计分析 Web 应用。上传数据集即可即时生成描述性统计、相关性分析、回归和 t 检验,无需编写代码。Thesis Helper: An automated statistical analysis web app for academic research. Upload your dataset and instantly generate descriptive stats, correlations, regressions, and t-tests without coding.
AI 产品运营的可复现研究流水线与案例研究,包含一个自动验证产品证据声明的 Agent。"A reproducible research pipeline and case study for AI Product Operations, featuring an automated agent that verifies product evidence claims."