仓库/Skill 库

用于规范化文献综述循环工作流的本地 Codex SkillLocal Codex skill for a disciplined literature-review loop workflow.

一种经过证据校准的 Codex skill，用于在不夸大主张的前提下强化学术写作。An evidence-calibrated Codex skill for strengthening academic writing without overstating claims.

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.

2026 自主 AI Agent 平台 🚀——基于 MCP 与 DAG 的多 Agent SaaSAutonomous AI Agent Platform 2026 🚀 - Multi-Agent SaaS with MCP & DAG

关于宏观多细胞生物进化的可复现研究与交互式实验。Reproducible research and an interactive lab on the evolution of macroscopic multicellularity

基于 Zotero 文献库的每日 arXiv 论文推荐。Daily arXiv paper recommendations based on Zotero library

🚀 使用 Fast-LLM 加速 LLM 训练，一个面向高速、可扩展、灵活模型开发的开源库🚀 Accelerate LLM training with Fast-LLM, an open-source library for high-speed, scalable, and flexible model development.

Claude AI 2026 Machines 插件 - 官方 GitHub 集成指南。Machines Plugin for Claude AI 2026 - Official GitHub Integration Guide

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.

大语言模型监督微调的反馈对齐方法Feedback alignment for supervised fine-tuning of large language models

基于 Transformer 架构的可复现研究原型，用于长周期建筑能耗预测，结合可微的热物理约束并支持跨建筑泛化A reproducible research prototype for long-horizon building energy forecasting using transformer architectures with differentiable thermal-physics constraints and cross-building generalization.

一个工作流框架，适配所有编码 agent。通过与工具无关的核心，将你的 AI 编码规范安装到 Claude Code、Cursor、GitHub Copilot、Gemini CLI、Codex 和 Windsurf。Apache 2.0。One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.

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.

40 项检查的设计契约验证引擎 — 为任意 URL 评分，把控 CI，强制执行 DTCG 2025.10 tokens。MCP server + GitHub Action + stylelint plugin + CLI。40-check design contract verification engine — score any URL, gate your CI, enforce DTCG 2025.10 tokens. MCP server + GitHub Action + stylelint plugin + CLI.

模块化的学术写作 skills 套件，面向 AI 辅助研究，覆盖摘要、引言、相关工作、方法、实验与结论，具备证据感知推理、引用核查、术语一致性以及 clean/audit 模式。A modular suite of academic writing skills for AI-assisted research, covering Abstract, Introduction, Related Work, Method, Experiments, and Conclusion with evidence-aware reasoning, citation checks, terminology consistency, and clean/audit modes.

metaScreener——基于插件的桌面应用，用于 human-in-the-loop systematic literature screening。在顺序可审计的 pipeline 中结合确定性启发式过滤与 LLM 推理，通过 SHA-256 校验包实现完全可复现。MIT 协议。metaScreener — a plugin-based desktop application for human-in-the-loop systematic literature screening. Combines deterministic heuristic filters with LLM inference in a sequential, auditable pipeline. SHA-256 verified bundles for full reproducibility. MIT licensed.

多阶段气候声明检索与排序：BM25、稠密 ANN、融合、重排序与评估Multi-stage climate claim retrieval and ranking: BM25, dense ANN, fusion, reranking, and evaluation

研究问题与暂定方向Research Question and Provisional Lane

基于 Zotero 的 Claude Code Skills 研究：PDF 高亮挖掘、主题编码、稿件评审与系统综述审计Claude Code skills for Zotero-based research: PDF highlight mining, thematic coding, draft review, and systematic review auditing

UGR 本科/硕士毕业论文 LaTeX 模板 | 格拉纳达大学 LaTeX 论文模板Plantilla LaTeX para TFG/TFM de UGR | LaTeX Thesis Template for University of Granada

用于系统综述与 Meta 分析的可编辑学术 HTML 演示Editable academic HTML presentation for systematic review and meta-analysis

Give pure-text LLM agents eyes: zero-dependency image understanding, OCR & image Q&A via MCP server + standalone Python script. 给纯文本 AI Agent 的图片理解能力(看图/OCR/图片问答)。

使用 Python 对公开数据集进行探索性与统计分析，涵盖数据清洗、可视化、解读与研究报告。Exploratory and statistical analysis of a public dataset using Python, including data cleaning, visualization, interpretation, and research reporting.

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.

本地 CLI，用于发现本地网络上的影子 MCP 服务器并审计认证状态。零遥测，纯本地。Local CLI to discover shadow MCP servers on your local network & audit authentication status. Zero telemetry, local-only.

Linux 上的便携 GrokBuild overlay：18 个 skill、路由、MCP、hooks、Refero/Motionsites 设计库，以及可选的本地 Design Intelligence 目录。当前版本：v1.3.1。Portable GrokBuild overlay for Linux: 18 skills, routing, MCP, hooks, Refero/Motionsites design bank, and optional local Design Intelligence catalog. Current: v1.3.1.

使用 R 和 ggplot2 复现一篇癫痫遗传学 meta 分析的 Figure 2AReplication of Figure 2A from an epilepsy genetics meta-analysis using R and ggplot2.

Measured by Nova：本地空间重建 MCP server，用于构建物理上精确的 Blender 模型。Measured by Nova: local spatial reconstruction MCP server for physically accurate Blender models.

由机器强制执行的 AI Agent 前端 UI/UX Skill 包。注册表 + 懒加载：2,018 token 的路由在每次请求中从 334k token 深度内容中按需加载一个 Skill。包含 11 个发布阻塞闸门，其中一项用于校验 Skill 包自身文档与参考资料是否遵循其规则。Machine-enforced frontend UI/UX skill pack for AI agents. Registry + lazy loading: a 2,018-token router loads one skill per request out of 334k tokens of depth. 11 release-blocking gates, including one that checks the pack's own docs and reference material against its own rules.

Python 数据科学实习的战略数据探索规划项目，涵盖数据集选择、研究问题、数据清洗方法、探索性分析、统计技术、Python 工具及规划的分析流程Strategic data exploration planning project for a Data Science with Python internship, covering dataset selection, research questions, data cleaning methodology, exploratory analysis, statistical techniques, Python tools, and the planned analytical workflow.

PRISMA 指导的混合方法系统综述，跨 4 项实证研究评估 AI 陪伴的社会心理、关系及长期心理健康影响。包含定量与定性 meta 综合、跨方法三角验证与理论框架映射。A PRISMA guided mixed methods systematic review evaluating the psychosocial, relational and long term mental health impacts of AI companions across 4 empirical studies. Features quantitative and qualitative meta synthesis, cross methodological triangulation and theoretical framework mapping

适用于 macOS 的 local-first 语音+手势 AI 存在。唤醒词 → Whisper → 三层路由 → Claude Agent SDK + MCP，带有 kill switch、设备级 allowlist、声纹门控确认和完整的操作日志。Local-first voice + gesture AI presence for macOS. Wake word → Whisper → three-tier router → Claude Agent SDK + MCP, behind a kill switch, device-scoped allowlist, voiceprint-gated confirmation and a full action log.

Kosli API 的 MCP server——由目录驱动，兼容 Claude Code、Claude Desktop 及任意 MCP 客户端。MCP server for the Kosli API - catalog-driven, works with Claude Code, Claude Desktop, and any MCP client.