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databuddy

Official

Ship Databuddy analytics across apps securely.

Data & Analytics#analytics#tracking#rest-api#feature-flags#web-vitals#llm-observability#databuddy
Authordatabuddy-analytics
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Setting up Databuddy analytics across browsers, servers, and AI observability involves juggling SDK imports, REST calls, MCP tooling, and feature flag gating, which this skill centralizes into one discovery point.

Core Features & Use Cases

  • Multiplatform SDK entry points: Use the @databuddy/sdk core, React hooks, Node batching, Vue integrations, and Vercel AI middleware to track every runtime without duplicate wiring.
  • REST, MCP, and query tooling: Authenticate with API keys, hit analytics endpoints, send batched events, and surface MCP answers for natural-language insights or automated reporting.
  • Feature flags, batching, and privacy controls: Configure FlagsProvider, sampling rates, privacy mode, and deduplication so your launches stay predictable and compliant.
  • Use Case: Combine SDK event tracking with MCP queries to answer “top five pages last week” in your dashboards with Web Vitals, errors, and custom-event context.

Quick Start

Embed the Databuddy SDK component in your Next.js layout with your client ID to immediately track Web Vitals, errors, and custom events.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: databuddy
Download link: https://github.com/databuddy-analytics/Databuddy/archive/main.zip#databuddy

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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