databuddy
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
浏览 databuddy-analytics 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
8收录技能的仓库 Stars 合计
935仓库 Forks
143平均每个技能的仓库 Stars
117同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Use the Databuddy Node.js SDK for server-side tracking with batching, middleware, and deduplication. Use when implementing analytics in Node.js servers, API routes, serverless functions, or when you need server...
Use Databuddy feature flags for React, Node.js, and Vue applications. Use when implementing feature flags, A/B testing, gradual rollouts, or user-targeted feature toggles.
Use the Databuddy React SDK for Next.js and React applications. Use when implementing analytics tracking in React components, setting up the Databuddy component in layouts, or using React hooks for event tracki...
Use Databuddy LLM observability for Vercel AI SDK. Use when implementing LLM analytics, tracking AI model usage, monitoring token costs, or observing AI application performance.
Use the Databuddy REST API for programmatic access to analytics data. Use when querying analytics data, building custom dashboards, sending events via API, or integrating analytics into backend services.
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying anal...
Use the core Databuddy SDK for browser-side tracking utilities, event tracking, and global tracker access. Use when implementing analytics in vanilla JavaScript or when you need direct access to the core tracki...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。