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Paste-in SolvaPay hosted checkout for Lovable-generated apps (Vite + React + TypeScript + shadcn/ui + Supabase). Backend is Supabase Edge Functions — no Node server to add. Use when the user says "lovable", "vite checkout", "shadcn checkout", "supabase edge checkout", "solvapay in lovable", "paste this into lovable", or "@preview". Pinned to the floating `@preview` tag and the SolvaPay dev backend (`https://api-dev.solvapay.com`). Not for production. Use `website-checkout` for Next.js / production web apps, or `sdk-integration` for general SDK wiring.
How this skill is triggered — by the user, by Claude, or both
Slash command
/solvapay-skills:lovable-checkoutThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Self-contained guide for wiring SolvaPay hosted checkout into a Lovable app. The whole guide is designed to be pasted into the Lovable chat to bias its agent toward a working integration on turn zero.
Self-contained guide for wiring SolvaPay hosted checkout into a Lovable app. The whole guide is designed to be pasted into the Lovable chat to bias its agent toward a working integration on turn zero.
@preview install commands, and the Lovable-specific guardrails. It's also designed to be pasted into the Lovable chat verbatim to bias the agent toward a working integration on turn zero.SOLVAPAY_SECRET_KEY in .env, VITE_*, import.meta.env, or any file the browser can reach. The secret lives only as a Supabase edge function secret.fetch against https://api-dev.solvapay.com from the browser. All SolvaPay backend calls go through Supabase edge functions.@preview tag: @solvapay/react@preview, @solvapay/react-supabase@preview. Never pin an exact preview version.SOLVAPAY_API_BASE_URL=https://api-dev.solvapay.com as a Supabase edge function secret — production keys are rejected by api-dev.@preview tag is unstable by design.npx claudepluginhub solvapay/skills --plugin solvapay-skillsCreates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.