
Discover and Share AI Agent Skills
Discover and share reusable AI agent skills for Claude and Cursor.
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台,帮助发现和沉淀 AI 使用经验
The full gallery
Tech stack
30 projects

Discover and share reusable AI agent skills for Claude and Cursor.
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台,帮助发现和沉淀 AI 使用经验

Play a strategy game about the AI race where you govern the US or China through 2030.
micstradev · HN
I made a strategy game where you play the US or China through the AI race, 2026 to 2030, sixteen quarterly turns in the browser. One run takes about half an hour. At the start, the game seals two dice you never get to see. Inside: how hard alignment really is, and how fast takeoff compounds. You get eval reports, but only as ranges, and they flatter you most exactly when your systems are least aligned. At the end you get a debrief which shows what your evals said each quarter and also what was actually true. I lost every run I played myself so far. Every number in the game is source-backed or a labeled design choice. Some of them are wrong somewhere. There is an issue template for challenging a number with a better source, and the better source wins. No accounts, no tracking, no server, works offline after first load. AGPL, nonprofit. Cards and parameters are plain JSON. Contribution is possible without writing code. Would like to have your thoughts if it is fun to play, how you lik

Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X

Coordinate multiple AI coding agents and projects in one unified terminal interface.
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

Buy AI-generated prompt packs, Cursor rules, and Claude configs created overnight by autonomous AI.
@shipsatnight · X

Collect user feedback with screenshots and console context, then let AI agents automatically analyze and handle it.
@lai_jia_wei · X
发布我们团队的第一个 side project 项目 这是一套收集、处理用户反馈的 Agent 工作流,包含 Widget、CLI、MPC、Skill,开源地址在评论区。 随着运营产品越来越多,许多细节很难逐一深入体验(尤其当自己不是目标用户),AI coding 可以实现可用,但是好不好用还得是现场用户说了算,更别说出现静默 Bug 的时候,只能实际使用才知道哪里出问题了。 所以我们做了一个很轻量的小工具,Make This Better 可以让用户在网页上提交反馈,AI 根据现场进行需求分析,最后你的本地 coding agent 接手处理,全程不碰任何数据、代码。 内部运行下来,帮助我们处理了不少用户反馈,甚至有些用户建议让我们发现了新需求。 前端 widget 组件是开源的,支持自定义后端,后端接口设计也在仓库里。如果你不想自己写后端,欢迎使用我们的官网后台,支持 BYOK,个人使用是完全免费的,不限项目数。 AI writes the code. Users make it better. 欢迎反馈。