Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Local RAG layer and optimizer for your Markdown knowledge base. CLI + MCP server: grounded answers for any AI client, stale-note detection, session harvesting into memories. Local-first.
MCP Server for Ozon marketplace - search products, get details, prices and delivery info
A local-first Playwright test automation toolkit for AI coding agents (Cursor, Claude Code, Copilot), with MCP tools for codegen, browser control, and recordings.
Agent Skills
An AI coding agent skill for deep architectural analysis of open-source projects. Generates professional-grade architecture reports with design insights, trade-off analysis, and Mermaid diagrams.
Connect your AI tools to the Shopify platform.
Codex-first SEO analysis suite with 1 orchestrator skill, 26 specialist workflows, 24 TOML agent profiles, MCP/API extensions, deterministic headless runners, and premium audit report generation.
它现在的核心不是一份很长的总 prompt，而是一套 主 skill 路由 + 专项模块下沉 + 本地语料检索 的模块化设计。
If you have used android/skills, you already know the shape of an Agent Skill: a Markdown file an agent loads on demand to perform one focused task. That library covers Android development at large.
awesome-ai-persona-skills 全网最全、持续更新、最火爆 100+ 人格蒸馏skills｜名人/作家/古籍/二次元/职场/情感... 创新：多智能体agent-team合集｜天涯20大神/中外著名导演...
A distilled, English-language playbook for designing SaaS & startup products that — packaged as an Agent Skill for Claude Code, Cursor, Codex, Copilot, Gemini, and any skills.sh-compatible agent.
and we're building it in the open with the community. APIs will still evolve as your feedback shapes them, so we don't recommend it for production workloads yet.
给 Agent 一条 URL，直接拿到正文、图片和元数据；不启动浏览器，不把整页 DOM 塞进上下文。 English · 简体中文
An open-source Dynamic Workflow runtime for building observable, reusable Agent graphs.
Open-source agent skills for generating editorial-style information cards from natural-language input.
This repository contains the source code, examples, and project implementations for the book — a practical, code-first guide to building AI agents and, more importantly, putting them into production.