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Skill

connect-recommend

@stripe 1.7k stars Updated 2026-07-27 Author match: High

Use this skill when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription platform, needs to pay out sellers, vendors, or providers, mentions split payments, revenue sharing, multi-party payments, or similar payment distribution concepts, provides a company URL or business description for a recommendation, builds SaaS that routes money between parties (for example, POS, booking, invoicing — not operational SaaS without payment routing), asks about onboarding or KYC for merchants, sellers, and vendors, mentions connected account Dashboard or responsibility configurations, or asks about payment flows, white-label payments, or embedded payments.

aillmllm-agentsmcppythontypescriptworkflows

Install

Install this Claude and Codex skill with the command below. The command stays visible even when copy support is unavailable.

Install command
git clone https://github.com/stripe/ai /tmp/ai && ln -s /tmp/ai/skills/connect-recommend ~/.claude/skills/connect-recommend

View on GitHub

From README

Connect recommend Recommend the right Stripe Connect integration configuration. The user only needs to provide a company URL or describe their business — the skill figures out the rest. Interaction model User must confirm interactions. Every decision point in this skill MUST be confirmed with the user with clear, numbered options and short descriptions. One question at a time — never overwhelm the user. Auto-act on low-cost actions. Never ask permission for: Generating the markdown recommendation plan — just generate it Scanning the codebase — just scan it Reading reference files — just read them Never end with passive text. Every stopping point must end with a prompt to the user offering concrete next actions. Terminology rules (user-facing output) Before generating any user-facing output, read . Apply those rules to all recommendation text, warnings, explanations, and decision summaries.

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