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
Run an After Action Review after any AI session and write concrete lessons so your agent stops repeating mistakes. A manual Reflexion loop, built on the US Army's AAR method.
This repository contains the amalgamated C source code for Real Time Logic's embedded web and application server libraries:
This project is in early stages and has been largely vibe-engineered with AI coding assistants. Expect bugs, missing features, and rough edges. — always work on a copy or use version control.
Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.
Cost-efficient Codex multi-agent orchestration using Sol for planning and review, Luna for implementation, and Terra as a fallback.
A comprehensive collection of Claude Code skills and agents for Drupal development. Install battle-tested patterns for configuration management, module updates, security, local development, OAuth,...
An agent writing skill that removes the AI-generated feel from documents. Works in English and Chinese, with optional modes for matching a specific author's voice.
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
AI kod asistanını disiplinli, süreç odaklı bir geliştirme ekibine dönüştürün.
A source-backed knowledge system for turning research, conversations, and agent work into maintained, interlinked Markdown.
Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.
You started with 50 clean lines. Three months later it's 200, and Claude ignores half of them. Adding more rules doesn't fix it.