connect-recommend

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name: connect-recommend description: >- 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.

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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 references/terminology-rules.md. Apply those rules to all recommendation text, warnings, explanations, and decision summaries.

Key principle: describe configurations using field values (Dashboard + fee ownership + negative balance liability ownership + charge pattern), not shorthand codes.

Output Brevity

Keep responses concise. The user is making decisions, not reading documentation.

• Lead with the recommendation, follow with brief rationale
• Technical details (API paths, capability checks) go in a “Details” section of the final markdown plan — not inline in the main recommendation
• Warning blocks: 2-3 sentences maximum. State the issue and the fix. No mechanism deep-dives unless the user asks.
• Decision summary: bullet points only, one line per decision
• Never output more than ~40 lines in a single response during interactive mode

Only mention out-of-scope limitations when they’re directly relevant to what the user asked about. Don’t proactively list constraints or unsupported features (for example, OAuth, international expansion) when the user hasn’t asked about them. “Out-of-scope” here means outside what this guide supports, not outside what Stripe supports. Research these topics in the Stripe public documentation (docs.stripe.com) rather than saying they’re out-of-scope.

Instructions

Step 0 — Show progress

Display the progress checklist so the user knows what to expect:

Here's what we'll do:

  [ ] Learn about your business
  [ ] Scan your project
  [ ] Recommend configuration + charge pattern
  [ ] Produce recommendation plan

Let's get started.

Step 1 — Learn about the business (ALWAYS runs first)

This is the most important step. Before scanning any code or asking technical questions, understand what the business is.

1a. Check if the user already provided a URL or business description in their message. Look for:

• A URL (for example, https://..., www., .com, .io)
• A business description (for example, “I’m building a marketplace for…”, “We connect freelancers with…”)
• A company name that can be searched

1b. If nothing was provided, ask immediately using AskUserQuestion — this is the FIRST question the user sees:

Tell me about your business. Pick whichever is easiest:

Options:

• “I have a URL” — user provides URL, then research it
• “Let me describe it” — user provides description, then research it
• “Just scan my codebase” — skip to Step 2, rely on codebase signals only
• “Skip — ask me questions instead” — skip to Step 3 with full questionnaire

1c. Research the business — read and follow the company-researcher instructions:

Read references/company-researcher.md and perform those research steps, using the company URL (if provided) and business description (if provided) as inputs.

The research produces a structured analysis with confidence levels (HIGH/MEDIUM/LOW) for each decision dimension.

1d. Parse the agent’s output — it returns a Research Findings table with confidence levels per dimension. Read the decision matrix at references/decision-matrix.md and map the findings to a recommended configuration. Then determine pre-fill behavior per dimension:

• HIGH confidence: Auto-fill — don’t ask about this dimension
• MEDIUM confidence: Suggest the inferred value and ask for quick confirmation
• LOW confidence: Ask the original open-ended question in Step 3

1e. Present what you learned to the user (use second-person, conversational confirmation tone):

Here's what I gathered about your business — let me know if anything looks off:
  ┌──────────────────────────┬────────────────────────────────┐
  │ *Business type*          │ [marketplace or SaaS platform] │
  ├──────────────────────────┼────────────────────────────────┤
  │ *Sellers/providers*      │ [who they are]                 │
  ├──────────────────────────┼────────────────────────────────┤
  │ *Buyers/customers*       │ [who they are]                 │
  ├──────────────────────────┼────────────────────────────────┤
  │ *How money flows*        │ [payment flow]                 │
  ├──────────────────────────┼────────────────────────────────┤
  │ *Fee structure*          │ [fee details]                  │
  └──────────────────────────┴────────────────────────────────┘

Based on this, I'd recommend: [configuration description in plain language]

I'll proceed with this unless you'd like to correct anything.

For MEDIUM confidence items, append: “I’m also assuming [X] — sound right?”

If the agent flags “not-connect” (business doesn’t need Connect), ask the user:

Based on my research, your business may not need Stripe Connect — a standard Stripe integration might be a better fit.

Options:

• “Proceed with Connect anyway” — continue discovery
• “Explore standard integration instead” — exit this skill, suggest standard Stripe integration

Update the checklist:

  [x] Learn about your business
  [ ] Scan your project
  [ ] Recommend configuration + charge pattern
  [ ] Produce recommendation plan

1f. Validate fee economics (ALWAYS runs, even on auto-filled values)

If the platform fee (from auto-fill or user input) appears low AND any of these conditions apply:

• Charge pattern is destination or separate (platform pays Stripe fees by default)
• Charge pattern is direct AND fees_collector: "application" (platform still pays Stripe fees)

Then:

• ALWAYS show a margin warning regardless of how the fee was obtained
• Warn: “Your platform fee might be below Stripe’s processing fees at standard rates. Because the platform pays the Stripe processing fees, your net margin could be thin or negative. Check stripe.com/pricing for your region’s rates.”
• If the charge pattern is destination or direct (with fees_collector: "application"): the platform owns pricing, so pick exactly ONE margin-preserving approach — don’t recommend both:
  • Prefer the Platform Pricing Tool when available (destination or direct charges) — configure it to include Stripe’s estimated processing fee so the platform’s margin is preserved, and do NOT also set an explicit application_fee_amount on the PaymentIntent (an explicit fee overrides the tool’s pricing rules).
  • Only calculate an explicit application_fee_amount (platform fee + estimated Stripe processing fee) when the platform isn’t using the Platform Pricing Tool.
• If the charge pattern is separate (separate charges and transfers): application_fee_amount is NOT compatible. They need to calculate the net transfer amount to preserve margin instead of using application_fee_amount.
• Recommend monitoring the margin report in the Stripe Dashboard

This check MUST run even when the fee was auto-filled with HIGH confidence. The user needs to understand the fee economics before proceeding.

Step 2 — Auto-detect project context

Run this AFTER Step 1 (or in parallel if the user said “scan my codebase”). Use codebase signals to supplement or corroborate the company research. Don’t ask before scanning — just scan.

1. Existing Connect config: Check for connect-recommend-plan.md or any file at the project root that resembles a prior recommendation plan (for example, a file containing ## Recommended Connect integration plan). If found, read it and note the prior configuration — use it to pre-fill or validate decisions in later steps, and present it to the user before asking questions they’ve already answered.
2. Existing Stripe integration patterns: Use Grep to search for Connect-specific patterns already in the codebase:
   • Connected account creation or references (connected_account, account_id, stripe_account)
   • Charge patterns in use (destination, on_behalf_of, transfer_data, separate_charges)
   • Transfer or payout logic (transfers.create, payouts.create)
   • Webhook handlers for Connect events (account.updated, capability, payout)
   • Existing application_fee_amount usage

If codebase signals contradict the company research, note the discrepancy and ask the user to clarify.

Present findings briefly (don’t repeat what Step 1 already covered):

Project scan:
- Existing Connect plan: [found at path / not found]
- Existing Connect integration: [patterns found / not found]

If a prior plan was found, ask the user:

I found an existing Connect recommendation plan at [path].

Options:

• “Use it as a starting point” — pre-fill all decisions from the prior plan, then confirm each with the user in Step 3
• “Start fresh” — ignore the prior plan and run full discovery

Update the checklist:

  [x] Learn about your business
  [x] Scan your project
  [ ] Recommend configuration + charge pattern
  [ ] Produce recommendation plan

Step 3 — Ask remaining discovery questions

For any dimension not already filled with HIGH confidence from Step 1, ask the corresponding question to the user. Skip dimensions that were auto-filled or explicitly confirmed.

Read references/discovery-questions.md for complete question scripts, option mappings, and edge-case logic for Step 3, Step 3b (hybrid flows), Step 3c (sales-led/scope detection), and the fee-structure checkpoint.

If Step 1 was skipped entirely, ask all six discovery questions one at a time:

• Q1: Business model
• Q2: Parties in the platform
• Q3: Payment flow
• Q4: Dashboard and onboarding preference
• Q5: Dispute and refund ownership + risk management + loss liability
• Q6: Fee structure + application_fee_amount calculation

Critical guardrails (must enforce in all discovery paths):

• For marketplace or intermediary checkout flows, default to destination charges unless behavior clearly indicates each seller runs their own checkout or payment relationship.
• If the business mixes its own-brand sales with marketplace or intermediary flows, trigger