Work inside the Databuddy monorepo for internal implementation, debugging, review, and refactoring. Use only for repository code changes across dashboard, api, basket, links, docs, uptime, SDK, tracker, auth, RPC, database schema, ClickHouse, or shared…
Use whenever the Databuddy MCP server is available and the user wants analytics, errors, vitals, investigations, flags, links, annotations, funnels, or goals queried or changed. Covers get_data, capabilities, get_schema, the investigation lifecycle, and…
Integrate Databuddy analytics using the SDK, REST API, or MCP. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, MCP agents, or querying analytics data programmatically.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components,…
Help external users integrate Databuddy into their own apps. Use for SDK setup, React/Vue/vanilla browser tracking, Node/server event tracking, custom event planning, attribution, feature flag evaluation, experiments, Databuddy DevTools, REST analytics…
Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, handle mentions, direct messages, subscribed threads, reactions, slash…
Reduce codebase slop by deleting code, flattening abstractions, and replacing custom helpers/types/assertions with native SDK/npm helpers or straightforward schemas (for example Zod). Use when asked to simplify, delete code, or "desloppify"…
Build or review Bun fullstack TypeScript code with Drizzle-backed SQL. Use for backend or cross-layer changes touching API/domain logic, schema or query design, migrations, runtime/type debugging, and boundary validation between contracts, business rules, and…