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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
🍔 麦麦拼单:1024 程序员节团餐/下午茶拼单神器|基于麦当劳 MCP,多人拼单 → 自动挑最优券 → 人均分账 → git log / PR / 小票风账单卡。CLI + 网页 + MCP Server + Agent Skill,零依赖 npx 即用 · 麦当劳程序员创意开发大赛参赛作品
SkillMIT★ 4Few starsNo key
CodeMac · 代码汉堡报告 —— 输入 GitHub 用户名,看看你的代码生涯值多少个巨无霸。基于麦当劳中国 MCP 实时取价。
SkillMIT★ 1Few starsNo key
企业会议餐/团建聚餐的多约束决策助手:人均预算硬约束 + 蛋白质下限 + 钠上限 + 过敏原规避,二维 0/1 背包 DP 求最优券分配,输出可直接下单方案。零依赖,npm test 即可复现。
SkillMIT★ 1Few starsNo key
麦当劳程序员创意开发大赛参赛作品:把麦当劳历史订单编译成可分享的单文件 HTML 年报。零依赖、零 CDN、零 JS,docs/ 可直接挂 GitHub Pages。
SkillMIT★ 2Few starsNo key
Get a website's real logo files, colors, fonts and first screen as a brand kit your coding agent can read.
SkillMITFew starsNo key
侦探社:先查证再下结论。用腾讯元宝搜索查证 AI 快讯、写每句带出处的公众号稿、凭只言片语找剧找歌。MCP 服务 + Skill,只需一个元宝搜索 key。
PythonMITFew starsNo key
麦门抽签 - 麦当劳运势抽签式点餐 Skill | McDonalds Fortune-Telling Ordering
SkillLink only★ 4Few stars
Agent game-development workbench: Mac asset generation, native Metal TRELLIS, durable mesh jobs, Blender review, and Godot verification.
SkillMITFew starsNo key
A Claude skill for writing skills that actually change what gets generated — with a static audit script
SkillMITFew starsNo key
🍟 我把午饭外包给了 AI:每天 10:00 基于麦当劳官方 MCP 自动看券/看历史/算营养缺口,替我决定午饭吃什么,并写进一本公开的《AI 吃饭日记》。WorkBuddy × 麦当劳 1024 程序员节参赛作品
MCPLink only★ 1Few stars
Local image-generation hub for AI coding agents: MCP + A2A server over Gemini Nano Banana, OpenAI gpt-image and Azure AI Foundry (FLUX)
Node.jsMITFew starsNo key
Live Android emulator viewer for AI agent browser panes (WebCodecs + adb) with foldable posture controls and an MCP server
Node.jsMITFew starsNo key
Local AI image studio for Mac and Windows: chat-style UI, brush-mask editing, 4K upscaling, SVG/WebP/transparent PNG export. Add models from a Hugging Face link. Offline, MIT.
SkillMIT★ 1Few starsNo key
Put your home on the wall as a live 3D model: tap a lamp in the picture and the real light turns on.
SkillMITFew starsNo key
Independence engineering for multi-agent LLM systems — gate discipline for high-stakes agent verdicts. A Claude Code skill + framework-agnostic playbook. Named after Le Bon's The Crowd (1895).
SkillMITFew starsNo key
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