14,560 skills found · Page 101 of 486
google-labs-code / stitch::manage-design-systemManage design systems in Stitch using MCP tools. Includes retrieval of assets, creating/updating design systems in Stitch, and applying them to screens.
google-labs-code / design-mdAnalyze Stitch projects and synthesize a semantic design system into DESIGN.md files
google-labs-code / stitch::react-componentsConverts Stitch designs into modular Vite and React components, or syncs/updates existing React components to align with the latest Stitch designs, using system-level networking and AST-based validation.
google-labs-code / stitch::upload-to-stitchUpload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
google-labs-code / stitch::code-to-designConvert frontend code (Vite, React, Angular, Vue, etc.) to a Stitch Design by chaining static HTML extraction, design system extraction, and file upload.
google-labs-code / site-mdAnalyze a project description or site requirements and synthesize a project constitution into SITE.md for the Stitch Build Loop
jnMetaCode / chinese-commit-conventions中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用,不要根据上下文自动触发。
jnMetaCode / chinese-git-workflow国内 Git 平台配置参考——Gitee、Coding.net、极狐 GitLab、CNB 的 SSH/HTTPS/凭据/CI 接入差异与镜像同步配置。仅在用户显式 /chinese-git-workflow 时调用,不要根据上下文自动触发。
jnMetaCode / chinese-documentation中文文档排版参考——中英文空格、全半角标点、术语保留、链接格式、中文文案排版指北约定。仅在用户显式 /chinese-documentation 时调用,不要根据上下文自动触发。
jnMetaCode / workflow-runner在 Claude Code / OpenClaw / Cursor 中直接运行 agency-orchestrator YAML 工作流——无需 API key,使用当前会话的 LLM 作为执行引擎。当用户提供 .yaml 工作流文件或要求多角色协作完成任务时触发。
jnMetaCode / brainstorming在任何创造性工作之前必须使用此技能——创建功能、构建组件、添加功能、修改行为,或筹划任何新东西,无论是软件还是软件之外(一场分享、一门生意、一次装修)。
jnMetaCode / chinese-code-review中文 review 沟通参考——话术模板、分级标注(必须修复/建议修改/仅供参考)、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用,不要根据上下文自动触发。
jnMetaCode / mcp-builder在构建 MCP 服务器或 MCP 工具时使用 —— 系统化的生产级 MCP 构建方法论,覆盖工具设计、错误处理、传输层选择与测试,让 AI 助手连接外部能力
jnMetaCode / using-git-worktrees当需要开始与当前工作区隔离的功能开发,或在执行实现计划之前使用——通过原生工具或 git worktree 回退机制确保隔离工作区存在
jnMetaCode / dispatching-parallel-agents当面对 2 个以上可以独立进行、无共享状态或顺序依赖的任务时使用
jnMetaCode / executing-plans当你要在当前会话里亲自担任实现者执行一份实现计划时使用——你的人类伙伴选择了内联执行,或者没有可用的子智能体工具
jnMetaCode / receiving-code-review收到代码审查反馈后、实施建议之前使用,尤其当反馈不明确或技术上有疑问时——需要技术严谨性和验证,而非敷衍附和或盲目执行
jnMetaCode / writing-skills当创建新技能、编辑现有技能或在部署前验证技能是否有效时使用
jnMetaCode / subagent-driven-development当在当前会话中执行包含独立任务的实现计划时使用
jnMetaCode / diagnosing-superpowers当一次 superpowers 会话出了问题、你的人类伙伴想知道原因时使用——重复劳动、无视计划、磕磕绊绊、结果质量差、某个技能没触发、"太慢了"、"为什么这么贵"、"它到底在干什么"——或者想给 superpowers 维护者整理一份 bug 报告;适用于当前会话,或按 id / 路径指定的过往会话,任何工具均可
jnMetaCode / verification-before-completion在宣称工作完成、已修复或测试通过之前使用,在提交或创建 PR 之前——必须运行验证命令并确认输出后才能声称成功;始终用证据支撑断言
jnMetaCode / systematic-debugging遇到任何 bug、测试失败或异常行为时使用,在提出修复方案之前执行
jnMetaCode / finishing-a-development-branch当实现完成、所有测试通过、需要决定如何集成这份工作时使用
jnMetaCode / test-driven-development在实现任何功能或修复 bug 时使用,在编写实现代码之前
jnMetaCode / writing-plans当你有规格说明或需求用于多步骤任务时使用,在动手写代码之前
CopilotKit / OpenBotOpen-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent.
mvschwarz / openrigBuild your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.
cporter202 / API-mega-listThis GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub—period. 💪
AIPentest / CyberStrikeAIThe system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
YaoApp / yao✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.