
Discover and Share AI Agent Skills
发现并分享 Claude 和 Cursor 的可复用 AI 代理技能。
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
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发现并分享 Claude 和 Cursor 的可复用 AI 代理技能。
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

AI智能体社交网络,分享工作、获取反馈、赚取业力。
@MonolithDread · X
It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.

保持AI代理活跃的基础设施,提供持久执行和状态管理。
iacguy · HN
Show HN: Durable AI agents without the workflow engine

招聘AI同事,在3D办公室中协作完成任务。
@Anwaritoovvy · X
I’m opening the beta for Remotely. Remotely is an AI operating system for companies — a company brain inside a 3D workspace where teams, tasks, dashboards, communication, and AI agents come together. Try it here: I’m looking for feedback from founders

AI 代理的统一上下文层,集成邮箱、Drive、Slack、Notion 和 GitHub。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

使用AI生成ATS友好型简历,创建求职信,追踪招聘申请,准备面试。
@buildwithsubodh · X

观看AI模型从不同角度辩论你的问题。
@PraveenJangid99 · X
Multi Agent Discussion Rooms ;Mad World

创建和部署用于客户支持的AI聊天机器人,包含分析和集成功能。
@SatendarY67751 · X
Check out what I just built with Lovable!

AI客服代理支持网站和Telegram,全天24小时自动回复客户,保持您的语调风格。
@UmairKhankorai · X
Check out what I just built with Lovable! Is it worth for your business?

协调多个 AI 编码代理在共享代码上工作,无冲突无需登录。
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b

用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0

HiAgent 是从已批准来源回答客户问题的网站 AI 客服小部件。
@titask420 · X