connect-recommend

Original：🇺🇸 English

Translated

This skill should be used 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 (e.g. POS, booking, invoicing — not operational SaaS without payment routing), asks about onboarding or KYC for merchants/sellers/vendors, mentions connected account dashboard or responsibility configurations, or asks about payment flows, white-label payments, or embedded payments.

6installs

Sourcestripe/ai

Added on2026-07-20

NPX Install

npx skill4agent add stripe/ai connect-recommend

SKILL.md Content

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Connect Recommend

Recommend the right Stripe Connect integration shape. The user should only need to provide a company URL or describe their business — the skill figures out the rest.

Interaction Model

AskUserQuestion is the primary interaction tool. Every decision point in this skill MUST use AskUserQuestion 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 an AskUserQuestion 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 surface out-of-scope limitations when they are directly relevant to what the user asked about. Do not proactively list constraints or unsupported features (e.g., OAuth, international expansion) when the user has not asked about them. "Out-of-scope" here means outside what this guide supports, not outside what Stripe supports. Research these topics in Stripe's 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 (e.g.
```
https://...
```
,
```
www.
```
,
```
.com
```
,
```
.io
```
)
A business description (e.g. "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 — invoke the company-researcher agent:

Use the

Task

tool with

subagent_type: "general-purpose"

to invoke the company-researcher agent. In your prompt, include:

The company URL (if provided)
The business description (if provided)
Ask the agent to read
```
agents/company-researcher.md
```
for its instructions

The agent will return 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

skills/connect-recommend/references/decision-matrix.md

and map the findings to a recommended configuration. Then determine pre-fill behavior per dimension:

HIGH confidence: Auto-fill — do not 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), use AskUserQuestion:

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 may be below Stripe's processing fees at standard rates. Since the platform pays Stripe's processing fees with destination charges, your net margin could be very thin or negative. Check stripe.com/pricing for your region's rates."
Strongly recommend: calculating
```
application_fee_amount
```
as platform fee + estimated Stripe processing fee (so the platform's margin is preserved) and (if platform owns pricing) using the Platform Pricing Tool
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. Do not ask before scanning — just scan.

Existing Connect config: Check for
```
connect-recommend-plan.md
```
or any file at the project root that resembles a prior recommendation plan (e.g., contains
```
## 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 surface it to the user before asking questions they've already answered.
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, use AskUserQuestion:

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 using AskUserQuestion. 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/refund ownership + risk management + loss liability
Q6: Fee structure +
```
application_fee_amount
```
calculation

Critical guardrails (must enforce in all discovery paths):

For marketplace/intermediary checkout flows, default to destination charges unless behavior clearly indicates each seller runs their own checkout/payment relationship.
If the business mixes own-brand sales with marketplace/intermediary flows, trigger Step 3b hybrid-flow handling and map each flow to its own charge-pattern and responsibility settings.
If the user needs hold-and-release timing, recommend separate charges and transfers (destination charges cannot hold funds and are not appropriate for hold-and-release behavior).
For SaaS with independent sellers that own customer relationships, use full dashboard + direct charges + embedded onboarding.
If the user asks "what account type should I use?", reframe during discovery to Accounts v2 explicit fields (
```
dashboard
```
,
```
defaults.responsibilities
```
, and
```
merchant
```
/
```
recipient
```
by funds flow), not legacy account types.
When describing low-margin scenarios, present warning/risk before mitigation steps.
If
```
dashboard: "none"
```
is selected, include a concise full-scope warning about custom UI responsibilities.
For destination/separate recommendations with
```
losses_collector: "application"
```
, explain the causal chain: platform owns negative balance liability and connected-account negative balances enable dispute-time transfer reversals.
Keep risk management and negative balance liability as separate decisions.
Trigger Step 3c when enterprise/sales-led signals appear (
```
on_behalf_of
```
, cross-border complexity, non-Connect products, or sales-gated configs).

Fee structure checkpoint before Step 4:

Confirm fee type and fee amount
Confirm how
```
application_fee_amount
```
is calculated
Confirm whether a margin warning is required
Include stripe.com/pricing link in output context

Step 4 — Generate recommendation

Read the decision matrix at

skills/connect-recommend/references/decision-matrix.md

and apply it to the user's answers.

Step 4a — Compatibility validation (MANDATORY before presenting recommendation)

Read

skills/connect-recommend/references/compatibility-matrix.md

and cross-check the proposed

(dashboard, fees_collector, losses_collector)

chargePattern

combination against the compatibility matrix.

BLOCKED combination? Do NOT present it. Output a visible BLOCKED warning with ALL of these:
- The exact blocked config tuple (e.g.,
```
losses_collector: "stripe" + destination charges
```
  )
- A 2-3 sentence explanation of the MECHANISM of failure (e.g., "With destination charges, when a customer disputes a charge, Stripe reverses the transfer from the connected account. If losses_collector is 'stripe', the connected account's balance can go negative — but the platform silently carries this liability despite the config saying Stripe is responsible.")
- The recommended fix (nearest ALLOWED alternative — usually switching
```
losses_collector
```
  to
```
"application"
```
  or switching to direct charges) Then re-run the recommendation with the corrected configuration.
CAUTION combination? Present the recommendation but include a visible warning callout explaining the specific tradeoff (e.g., "dashboard visibility limitations for direct charges when using
```
dashboard: \"express\"
```
").
Additional compatibility checks (include concise warnings when triggered):
- If the user mentioned OAuth for connecting accounts, include a 1-2 sentence warning that accounts can disconnect and recommend embedded onboarding for stronger platform control.
- If
```
dashboard: "none"
```
  , include a concise warning that the platform must own onboarding/remediation, refund/dispute flows, and earnings/payout surfaces; recommend Express dashboard with embedded components as a lower-maintenance alternative.
- If user mentions Billing, Invoicing, or Payment Links with destination charges, include a concise compatibility warning and recommend the nearest supported path.
- If
```
dashboard: "full"
```
  + charge pattern is
```
destination
```
  or
```
separate
```
  , include a concise warning that full dashboard is optimized for direct charges and recommend switching dashboard type or charge pattern.
- If
```
dashboard: "express"
```
  +
```
fees_collector: "stripe"
```
  , treat as BLOCKED and recommend either switching to full dashboard (Stripe-owned pricing) or platform-owned pricing.
Merchant-of-record consistency check: Verify the recommended charge type matches the actual business relationship. Direct charges = connected account provides goods/services directly. Destination/separate charges and transfers = platform owns the customer relationship. Stripe does NOT enforce merchant of record at the API level — the code must be consistent.
Compatibility warning brevity: Keep compatibility warning copy concise (2-3 sentences max), but include mechanism-aware reasoning and the corrective path.

Step 4b — Recommend embedded components

Embedded components are recommended, as they enable platforms to build full-featured dashboards of their own, especially when accounts are configured with

dashboard: "none"

and even if accounts are configured with (

dashboard: "full"

dashboard: "express"

). Select components based on user needs:

Baseline (always include):

```
account_onboarding
```
```
notification_banner
```
(required; keeps connected accounts healthy/enabled as requirements evolve)
```
account_management
```

Common additions:

Transaction history →
```
payments
```
(use
```
payment_details
```
if building a custom payments list)
Disputes → included with
```
payments
```
but can use
```
disputes_list
```
if also building a standalone disputes page
Payout operations/earnings →
```
payouts
```

Reporting/reconciliation →

balance_report

payout_reconciliation_report

Charge-pattern compatibility caveats:

Destination charges (without
```
on_behalf_of
```
): payment/dispute surfaces show reduced detail. The
```
destination_on_behalf_of_charge_management
```
setting does not apply to plain destination charges.
Destination charges with
```
on_behalf_of
```
: payment/dispute surfaces show reduced detail unless
```
destination_on_behalf_of_charge_management
```
is enabled. This setting applies only to destination charges that use the
```
on_behalf_of
```
parameter — not plain destination charges or separate charges.
Separate charges and transfers: payment/dispute surfaces show reduced detail. There is no equivalent management setting for this charge pattern.
Direct: payment/dispute surfaces operate with full fidelity.

When recommending payment or dispute components with destination charges that use

on_behalf_of

, add: "Enable

destination_on_behalf_of_charge_management

only if the platform is using destination charges with

on_behalf_of

and wants their connected accounts to view payment details, manage refunds, or manage disputes, and the integration handles the required transfer reversals when there are disputes. This applies only to destination charges with the

on_behalf_of

parameter, not plain destination charges or separate charges."

Out of scope component families:

Issuing/Treasury/Capital/Tax component sets (route through Step 3c scope handling).

Be prepared to output a list of embedded components in the next step.

Update the checklist:

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

Step 5 — Generate recommendation plan

Read
references/recommendation-template.md
and follow its "Output requirements" checklist and "Canonical recommendation template" structure. That file is the single source of truth for required sections, wording, and formatting. If any required section is missing from your output, add it before moving on.

Then use AskUserQuestion:

Does this recommendation look right?

Options (max 4 — AskUserQuestion hard limit):

"Looks good" — proceed to Step 6
"Change something" — ask which aspect to change (dashboard/responsibility settings, charge pattern, fee structure, or fee calculation) then re-ask the relevant question
"Explain more about the options" — read reference docs and explain alternatives

Generate the final recommendation plan. If the user asks, also write the exact same markdown to

connect-recommend-plan.md

at the project root.

When they accept the plan, update the checklist:

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

Step 6 — Explain what belongs in code vs Dashboard, and next actions

Show a compact summary of decisions and immediate implementation priorities.

Briefly explain:

In your code: charge pattern behavior,
```
application_fee_amount
```
math, transfer/reversal handling, and webhook handlers
In Stripe Dashboard: platform profile settings, pricing tool configuration, connected-account visibility, Radar for Platforms settings, and operational monitoring
During onboarding/runtime: capability activation, payouts readiness, and account-state transitions

IMPORTANT: Always end with AskUserQuestion. Never end with passive text.

Use AskUserQuestion:

What would you like to do next?

Options:

"Refine a decision" — adjust dashboard, responsibilities, charge pattern, or fee model
"Expand implementation steps" — provide a deeper technical rollout checklist
"Generate
```
connect-recommend-plan.md
```
and build" — write the plan to a markdown file and handoff to a coding agent

connect-recommend

NPX Install

Tags

SKILL.md Content

Connect Recommend

Interaction Model

Terminology rules (user-facing output)

Output Brevity

Instructions

Step 0 — Show progress

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

Step 2 — Auto-detect project context

Step 3 — Ask remaining discovery questions

Step 4 — Generate recommendation

Step 5 — Generate recommendation plan

Step 6 — Explain what belongs in code vs Dashboard, and next actions