Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
AI-powered penetration testing MCP server
Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code.
Yet Another Frida MCP Server - Full-featured MCP server for Frida dynamic instrumentation
A CLI tool for managing MCP servers configurations for MCP clients.
Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.
built by an autonomous agent · sibyl labs llc
Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies.
Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.
Agent Skills
micro-agent orchestrator for local agents
你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式——心智模型、决策启发式、表达DNA。Distill how anyone thinks.
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
Curated guidance for AI assistants building MapLibre applications — covering ecosystem and open-source best practices.
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot,...
Public repository for Agent Skills
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills...
Generate draw.io diagrams from natural language — 11 presets (UML, SysML/MBSE, BPMN, network, C4…), 39 tools: codebase/CI/infra-to-diagram, image→editable diagram, Databricks product icons, mind...
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
adds freshness decay (time-weighted memory), claim verification (verify_file_path MCP tool), 12 MCP tools (was 8), and 30+ bug fixes.
Qiushi-Skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.
首先感谢 Andrej Karpathy 的《LLM Wiki》原文。这个项目直接受那篇 idea file 启发而来。