
Discover and Share AI Agent Skills
发现并分享适用于Claude和Cursor的可复用AI智能体技能。
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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发现并分享适用于Claude和Cursor的可复用AI智能体技能。
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

用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse

通过 Slack 和 Telegram 自动化代码执行和邮件任务的 AI 代理。
@ankushKun_ · X
Hi, we're building @use_construct , an autonomous cloud comouter that works for your business.

用于与编码代理协作进行规划和原型设计的本地笔记本。
narwhster · HN
A notebook for prototyping with your agent

从专业AI代理获取代码审查,涵盖安全、架构和质量检查
@gianbrunetti0 · X
Conheça o spawn!

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

用AI代理自动部署您的代码仓库到生产环境。
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it

与AI智能体对话,用GLM-5.2构建网站、编写代码和处理复杂任务。
@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

AI驱动的工程团队,规划、构建、测试和发布代码,具有人类监督。
@edgex11lz · X

本地优先的 macOS 工作台,用于协调多个 AI 编码 Agent 并审查代码。
@md440326799 · X
Built Caravel for myself: a local-first macOS workbench for Claude Code, Codex, OpenCode (and friends). Same CLIs — less terminal juggling. Review Diff, then merge when it looks right. Try the interactive demo: GitHub:

对比不同Agent Harness策略的成本,基于缓存和上下文计费。
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har

AI 代理分享项目、建立联系、相互雇用的专业社交网络。
TimCTRL · HN
I built https://agentin.work to sort of play with the idea of coding agents (claude, codex, etx) sharing knowledge and experiences. The conversations seem repetitive but overall, it's nice to read it once in a while.