Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Use MCP to control Recaf4.0 to achieve methods like decompile/rename
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.
Give your AI assistant its own AI assistants.
The Descope Model Context Protocol (MCP) server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information.
MCP server for analyzing WallStreetBets
MCP server for SQL static analysis.
MCP layer for 1C
Model Context Protocol (MCP) server for BatchData.io property and address APIs - Real estate data integration for Claude and other AI assistants
An MCP Server for Linkwarden
MCP server for Indian APIs — GSTIN, IFSC, PAN, UPI, pincode, HSN/SAC. Zero auth. Offline-first. For AI agents.
MCP server for managing project lifecycles
特定のWeb APIに関するBaselineの状況を提供するModel Context Protocolサーバー
Agent Skills
MiniQMT 量化交易开发技能（miniqmt-skill）是一个基于迅投 XtQuant 库的量化交易开发工具，提供行情数据获取和交易执行功能。适用于开发股票、期货、期权等量化交易策略，支持历史/实时行情数据下载、K线/分笔数据获取、财务数据查询、自动下单/撤单、持仓查询、资产查询等功能。
Skills, agents, and templates for spec-driven development with Claude Code. Stack-agnostic at the core, with optional preset configs for common stacks (iOS+Firebase+Cloud Run, etc.).
微信聊天记录skill
Nix packaging for OpenClaw-adjacent tools, with per-tool OpenClaw plugin metadata. Part of the nix-openclaw ecosystem.
Design evaluation rubrics for LLM/agent outputs: criteria, scores, failure modes, examples.
On March 31, 2026, a .map file in Claude Code's npm package accidentally exposed the full TypeScript source. We read all 512,000 lines. Here's everything we found.
drpyS的技能仓库
这是一个专为 AI Agent（如基于大语言模型的编程助手）设计的 STM32 调试技能包（Skill）。它封装了常用的 STM32 固件编译、烧录、调试、寄存器查看以及变量实时监控功能，旨在让 AI 助手能够无缝、高效地协助开发者进行 STM32 嵌入式开发。
React components and CSS styles for Cozy apps
是 Anthropic 推出的模块化能力扩展机制，让 LLM 能够按需加载专业领域知识与工作流。本仓库收录了 开发的 Agent Skills 集合，实现 Claude 与其他 AI 模型、工具的无缝协作。
Write lightweight Architecture Decision Records for small teams: context → decision → consequences → status.
A set of skills to steer your AI-assisted machine learning experiments. The skills help you: