Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
The web data API for AI agents — search, scrape, map, and crawl any site into clean markdown or JSON .
An opinionated AI-native workflow for evolving modern Java Enterprise SDLC practices through reusable Skills, Agents, Commands & MCP servers.
You describe your goal → AI inspects your Home Assistant → designs a custom solution → and deploys it on-board automatically. 🚀
The only SEO skill your agent needs. 70+ SEO audit tools through a local CLI and MCP server, using your own crawl, Search Console, and GA4 data.
Docs Quickstart // Join us on Slack
EdgeEver is an open-source, self-hosted, Cloudflare-native notes workspace. It keeps the classic Evernote-style three-pane experience while providing a clear data model, REST API, OpenAPI schema,...
Open-source adversary emulation for AI agents, LLM apps, and MCP servers. Test your AI like a real attacker would — from your CLI, your IDE, or a browser extension that anyone on your team can use.
SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, and other AI coding tools.
Stop managing DevOps. Ship more, stress less.
MCP server with runtime-level tools for Rails development
Computer-use agents work every task out from scratch, even one you've done a hundred times. And between tasks, your agent has no idea what you've been doing all day, so it starts every conversation...
Zero config. Zero dependencies. Under 10 seconds.
Agent Skills
We are moving from "prompt as text" to . Each skill acts like a lightweight, containerized application for AI work: a stable interface, opinionated workflow, and bundled resources that can be...
A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineers.
漫画风格图解生成器 Skill | 10+ 动漫风格（哆啦A梦/火影/海贼王/龙珠）| 兼容 Cursor / Claude Code / OpenClaw | 附图解 OpenClaw 示例漫画
Security skills for AI coding assistants and agentic systems
If you'd like to support these efforts consider becoming a paying Patreon member ❤️ You'll even get access to up to date lessons and other perks: patreon.com/TheHotwireClub
Official Sketch Plugin directory
Process skills that give a Reasonix coding agent the disciplines of a careful engineer: write the test first, debug from evidence, plan before coding, verify before claiming done.
*Tuned for (1M-token MSA context, native multimodal input) and (Agents Window, canvases, Design Mode, /worktree, /best-of-n, Await, MCP Apps). Written to stay useful across model changes.*
"一器而工聚焉者，车为多。" ——《考工记》 两千年前，造一辆马车是最复杂的系统工程：**承载乘者，辕定方向，辐传动力，軎辖为约束——每个构件各司其职，合而为一，车方能行。 今天，构建一个 AI Agent 亦是如此：对话循环为**，工具系统为**，权限管线为**，而将这一切承载于其上、使智能体真正运转的运行时框架—— Agent Harness——正是那个**。
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
cv4pve-cli is to Proxmox VE what kubectl is to Kubernetes — a remote-first CLI with context switching, direct API access, and aliases for common operations.
⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA