Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.
PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human
MCP server to enable an LLM to do basic static triage of a PE.
Intercept AI requests, track usage, inject MCP tools centrally
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
is the easiest way to connect any MCP client (like Claude or Cursor) with the browser using browser-use.
Agent Skills
Automatically updates your terminal window title to reflect the current task Claude Code is working on. Perfect for developers managing multiple Claude Code instances across different terminals.
Offense, defense, and the reverse-engineering and code-audit core both sides share. Every skill is fact-checked against primary sources.
Every agentic runtime does the same thing: read a skill, call an LLM, execute tools, loop. SubZeroClaw is that principle written directly in C — no framework, no abstractions, no architecture...
A pre-built configuration that gives Claude Code persistent memory, security guardrails, and structured workflows. Clone, run setup.sh, and your next session picks up where the last one left off.
PRFlow is the Claude Code plugin that closes that gap — it carries one feature request all the way to a , so you do the final review and merge, not the cleanup.
輸入股票代碼，自動從 Goodinfo.tw 讀取公開財報數據，生成互動式三維財務分析儀表板。
Claude Code skill that optimizes content for social media engagement. Auto-generates hooks, headlines, and formatted posts for Reddit, Twitter/X, LinkedIn, and TikTok.
We use Kimi-K2.5 as the MLLM and Z-Image-Turbo / Qwen-Image-2512 as the Generator. We use Sglang to serve MLLM and Diffusers to serve the Generator.
superpowers-plus
Everything else you see here is just the source code behind that file — you don't need to touch it.
Automated social posting pipeline for Reddit, X/Twitter, and other
本项目基于通义千问（qwen-plus）大模型构建AI Agent智能采购管理系统，专为摩托车零部件采购场景打造。系统与现有Java ERP后端深度集成，覆盖供应商智能分析（信用评级与供货能力对比）、采购订单全生命周期管理（创建、修改、审批流转）、库存预警与出入库自动化管控，以及零部件多维度检索与供应商关联查询等核心业务环节。