本仓库记录了我通过对研究论文的结构化分析、文献综述以及对基因组学、转录组学、生物信息学和 AI 在生命科学中应用的笔记,对计算生物学的持续探索。This repository documents my ongoing exploration of computational biology through structured analyses of research papers, literature reviews, and notes on genomics, transcriptomics, bioinformatics, and AI applications in life sciences.
仓库/Skill 库
1272 个 · 应用
Windows 上 Claude Code 的计算机使用能力:一个 MCP server,让 Claude 能够看到你的屏幕并操控鼠标和键盘,对齐 Anthropic 的 computer-use 动作集。Computer use for Claude Code on Windows: an MCP server that lets Claude see your screen and drive mouse and keyboard, mirroring Anthropic's computer-use action set
Rustok MCP server —— 通过 MCP(SSE + stdio)为 AI Agent 提供自托管钱包工具的轻量客户端,不托管任何密钥。Rustok MCP server — self-custody wallet tools for AI agents over MCP (SSE + stdio). Thin client, holds no keys.
基于 CrewAI、PostgreSQL 与科学 API 集成的多 Agent PRISMA 系统综述编排器Multi-agent PRISMA systematic review orchestrator with CrewAI, PostgreSQL, and scientific API integrations
新西兰 PIC Party 项目,涉及为期 59 天的政党注册议题、独立选区候选人、基于良知的政府组建以及正在浮现的生活成本政策。本站呈现提案、研究问题、政治讽刺与政策建模;非选举委员会建议,不代表官方选举。PIC Party New Zealand project, the 59-day party-registration issue, independent electorate candidates, conscience-based government formation and emerging cost-of-living policy. This site presents proposals, research questions, political satire and policy modelling. It is not Electoral Commission advice and does not represent an official election.
语言驱动、无锁的分布式工作流引擎 — 用 FFL 编写工作流,运行时负责执行、依赖解析、恢复和热部署。Language-directed, lock-free distributed workflow engine — write workflows in FFL, the runtime handles execution, dependency resolution, recovery, and live deployment.
CampusIQ 是由 AI 驱动的学术知识管理与问答系统,借助 RAG、语义搜索、OCR、图像理解以及基于 LLM 的回答生成,实现教育内容的智能检索与分析。CampusIQ is an AI-powered academic knowledge management and question-answering system that enables intelligent retrieval and analysis of educational content using RAG, semantic search, OCR, image understanding, and LLM-based response generation.
无凭据 MCP 策略代理,具备细粒度能力与防篡改凭证。Secretless MCP policy proxy with scoped capabilities and tamper-evident receipts
一个生产级 RAG 系统,能自主决定检索方式——从本地向量库、Web 搜索或两者结合,以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis.
独立的自主证据综合与系统综述工作台Standalone Autonomous Evidence Synthesis & Systematic Review Workbench
适用于代码 agent 的安全只读型服务器资源管理器:MCP 接口、RO 沙箱,docker/postgres/redis/mongo/rabbitmq 插件Безопасный readonly-эксплорер сервера для кодового агента: MCP-интерфейс, RO-песочница, плагины docker/postgres/redis/mongo/rabbitmq
展示学术写作与技术传播成果的专业数字作品集。Professional digital portfolio showcasing my academic writing and technical communication work.
接收研究问题 → 检索网页 → 阅读关键页面 → 综合输出带引文与置信度分数的结构化报告。Takes a research question → searches the web → reads key pages → synthesizes a structured report with citations and confidence scores
🤖 通过教育型对冲基金模型探索 AI 驱动的交易决策,融合多位知名金融专家的多元投资策略。🤖 Explore AI-driven trading decisions with our educational hedge fund model, featuring diverse investment strategies from renowned financial experts.
Digital-HR 是面向 Coforge HR-India 的企业级 HR 政策助手,内置 Siya——智能、亲和、平易近人的专业 AI HRDigital-HR is an enterprise-grade HR Policy Assistant for Coforge HR-India, featuring Siya— an intelligent, warm, approachable, and professional AI HR
完整的 S&P 500 质量评分项目:数据采集与剖析、修正板块/子行业错配、清洗异常值与缺失值、将 5 项指标归一化为综合得分、回答全部 4 个研究问题,并搭建交互式 Power BI 仪表盘Complete S&P 500 Quality Score project: sourced and profiled data, fixed the sector/sub-industry mismatch, cleaned outliers and missing values, normalized 5 metrics into a composite score, answered all 4 research questions, and built an interactive Power BI dashboard.
可复现研究流程,通过改造预训练 LLM tokenizer 降低尼泊尔天城文分词成本:连续/字素感知的 BPE 候选挖掘、基于边际增益的贪心词表选择、保留 ID 的 merge 拼接、基于分解的 embedding 初始化,以及 embedding-only/LoRA/CPT 适配;面向 6GB 笔记本 GPU 调优。Reproducible research pipeline that reduces Nepali Devanagari tokenization tax by retrofitting a pretrained LLM tokenizer: continued/grapheme-aware BPE candidate mining, greedy marginal-gain vocabulary selection, ID-preserving merge splicing, decomposition-based embedding init, and embedding-only/LoRA/CPT adaptation. Tuned for a 6GB laptop GPU.
一款连接 AI 助手与 Sci-Hub 的 MCP 服务器,用于自动化学术研究。专为 RAG 设计,可绕过付费墙、处理验证码、通过 OCR 提取文本,并作为循证推理的主要数据获取器An MCP server that bridges AI assistants with Sci-Hub for automated academic research. Designed for Retrieval-Augmented Generation (RAG), it bypasses paywalls, handles captchas, extracts text via OCR, and serves as the primary data-fetcher for evidence-based reasoning.
Rust Graph Tracker:为 LLM 编程 Agent 提供数值与日期来源追踪,支持表达式求值与推导验证Rust Graph Tracker: numeric and date provenance tracking with expression evaluation and derivation verification for LLM coding agents
Euro Truck Simulator 2 / American Truck Simulator 的遥测与驾驶分析 MCP server,附带无头 Claude 分析 agent。只读、Family-A。MCP server for Euro Truck Simulator 2 / American Truck Simulator telemetry + driving analytics, with a headless Claude analytics agent. Read-only, Family-A.
应用 AI、可复现研究与可靠工程。Applied AI, reproducible research, and reliable engineering.
面向编程 Agent 的确定性业务变更安全闸门——基于证据的 BLOCK/ALLOW 决策。Deterministic business-change safety gate for coding agents — evidence-backed BLOCK/ALLOW decisions
面向学术研究与文献综述的 MCP Server。MCP Server for Academic Research & Literature Review
集成 ChatGPT web 与 Codex,用于 Agentic 编码工作流:ChatGPT 负责思考,Codex 负责执行,以节省 Codex 用量配额。Integrates ChatGPT web and Codex for agentic coding workflows ChatGPT thinks, Codex executes for saving Codex usage limits.
面向 Source 引擎地图工作的 MCP server:读取并检查 VMF、无重排编辑、按格式上限测算 BSP、通过 Wine(原生或 Hammer++)编译。MCP server for Source-engine map work: read and lint VMF, edit without reformatting, measure BSP against format limits, compile under Wine (stock or Hammer++)
受 MemGPT 启发、支持 OpenAI API 的长期记忆 Agent,具备记忆生命周期控制与评估能力。MemGPT-inspired long-term memory agent with OpenAI API support, memory lifecycle controls, and evaluation.
针对任意 GitHub 仓库的自然语言问答 —— 构建 Neo4j 依赖图与 Qdrant 向量索引,用自然语言即可提问结构性与行为性问题。Natural-language Q&A over any GitHub repo — builds a Neo4j dependency graph + Qdrant vector index so you can ask structural and behavioral questions in plain English
🧠 为 Telegram、Discord 与 Reddit 打造的私有、源码溯源知识库,基于混合 RAG,并提供每周摘要。🧠 Private, source-grounded knowledge base for Telegram, Discord, and Reddit with hybrid RAG and weekly digests.
受治理的持久化 AI worker,配备默认拒绝权限、人工审批、dry-run 以及经过认证的 MCP。Governed persistent AI workers with default-deny authority, human approvals, dry-runs, and an authenticated MCP.
基于 CrewAI 的 Agent 系统,用于辅助研究者围绕特定高层级研究问题定义研究项目与假设。This is a CrewAI agent system set up to assist a researcher with defining research projects and hypotheses for a specific high-level research question.
AI Coding Memory MCP 2026:用于持久化 Sprint 与决策管理的 20 个工具。AI Coding Memory MCP 2026: 20 Tools for Persistent Sprint & Decision Management
面向人脸域去风格化、结构条件化、评估与质量过滤的紧凑型可复现研究流水线。Compact reproducible research pipeline for face-domain destylization, structural conditioning, evaluation, and quality filtering.
多 Agent AI 研究助手——由多个专门化 Agent 协作,自动检索论文、总结发现、对比方法、生成文献综述并产出可演示的内容Multi-Agent AI Research Assistant — An AI-powered research automation system where multiple specialized agents collaborate to search research papers, summarize findings, compare methodologies, generate literature reviews, and create presentation-ready content.
使用多 Agent RAG 系统与混合索引、LangGraph 编排,自动获取 arXiv 研究论文并生成文献综述。Automate arXiv research paper retrieval and literature review generation using a multi-agent RAG system with hybrid indexing and LangGraph orchestration.