Firecrawl Build Onboarding
firecrawl/firecrawl
Gets Firecrawl working in a project: signs you in through the browser, saves FIRECRAWL_API_KEY to .env and picks the first SDK or REST path.
A skill your agent uses when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add fossasia/eventyay --skill connect-recommend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fossasia/eventyay connect-recommend --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/connect-recommend .claude/skills/connect-recommend && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .claude/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommendType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add fossasia/eventyay --skill connect-recommend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fossasia/eventyay connect-recommend --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/connect-recommend .agents/skills/connect-recommend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .agents/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fossasia/eventyay --skill connect-recommend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fossasia/eventyay connect-recommend --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/connect-recommend .cursor/skills/connect-recommend && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .cursor/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/fossasia/eventyay.git --path .agents/skills/connect-recommend--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add fossasia/eventyay --skill connect-recommend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fossasia/eventyay connect-recommend --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/connect-recommend .gemini/skills/connect-recommend && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .gemini/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install fossasia/eventyay connect-recommendInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add fossasia/eventyay --skill connect-recommend -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/connect-recommend .github/skills/connect-recommend && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .github/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add fossasia/eventyay --skill connect-recommend -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fossasia/eventyay connect-recommend --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fossasia/eventyay.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/connect-recommend .opencode/skills/connect-recommend && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "connect-recommend" agent skill from https://github.com/fossasia/eventyay/tree/dev/.agents/skills/connect-recommend into .opencode/skills/connect-recommend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connect-recommend", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
connect-recommendA skill your agent uses when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform…
Connect Recommend is an agent skill from fossasia/eventyay. 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…
Its SKILL.md is about 5.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/account-types.md`, `references/charge-patterns.md` and `references/company-researcher.md`).
It sits in Backend & APIs. It works with Stripe. The repository describes itself as: Open Source Event Management, Ticketing and Checkins, Talks and Schedules, Video and Interpretations, Badges, Exhibitions and more https://eventyay.com. The licence is Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 26ab310. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.stripe.comstripe.comdashboard.stripe.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Connect Recommend loads about 5.9k tokens when it runs, and up to ~41k if it reads all its reference files. Until then it costs about 206 tokens; SKILL.md has 2,578 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found patterns that need a careful read before installing.
**Auto-act on low-cost actions**. Never ask permission for:Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from fossasia/eventyay at commit 26ab310, republished under its Apache-2.0 licence (© fossasia). 2,578 words, ~5,925 tokens.
.claude/skills/connect-recommend/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.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.
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:
Never end with passive text. Every stopping point must end with a prompt to the user offering concrete next actions.
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.
Keep responses concise. The user is making decisions, not reading documentation.
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.
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.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:
https://..., www., .com, .io)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:
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:
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:
Update the checklist:
[x] Learn about your business
[ ] Scan your project
[ ] Recommend configuration + charge pattern
[ ] Produce recommendation plan1f. 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:
destination or separate (platform pays Stripe fees by default)direct AND fees_collector: "application" (platform still pays Stripe fees)Then:
destination or direct (with fees_collector: "application"): the platform owns pricing, so pick exactly ONE margin-preserving approach — don’t recommend both:application_fee_amount on the PaymentIntent (an explicit fee overrides the tool’s pricing rules).application_fee_amount (platform fee + estimated Stripe processing fee) when the platform isn’t using the Platform Pricing Tool.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.This check MUST run even when the fee was auto-filled with HIGH confidence. The user needs to understand the fee economics before proceeding.
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.
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.connected_account, account_id, stripe_account)destination, on_behalf_of, transfer_data, separate_charges)transfers.create, payouts.create)account.updated, capability, payout)application_fee_amount usageIf 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:
Update the checklist:
[x] Learn about your business
[x] Scan your project
[ ] Recommend configuration + charge pattern
[ ] Produce recommendation planFor 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:
application_fee_amount calculationCritical guardrails (must enforce in all discovery paths):
dashboard: "express"), paired with Stripe-managed pricing and Stripe-managed negative balance liability (SES) as the low-operations default, or platform-managed pricing with Stripe-managed negative balance liability (PES) when the platform wants pricing control. Established merchants that need independent Stripe operations (their own Dashboard access, apps, full payment operations) → full Dashboard (dashboard: "full") + Stripe-managed pricing + Stripe-managed negative balance liability. When recommending SES or PES: (1) include a concise public-preview disclosure (these Express + Stripe-managed-negative-balance-liability configurations for direct charges are in public preview), (2) state that they require the current Connect preview API version and link to the preview changelog, (3) recommend enabling Radar for Platforms alongside Managed Risk, and (4) confirm during discovery whether the platform is onboarding new accounts or trying to migrate existing accounts — SES/PES only work for newly onboarded accounts and the dashboard choice is permanent per account (see the discovery question in references/discovery-questions.md).dashboard, defaults.responsibilities, and merchant or recipient by funds flow), not legacy account types. Read references/account-types.md for the full v2 configuration reference.dashboard: "none" is selected, include a concise full-scope warning about custom UI responsibilities.losses_collector: "application", explain the causal chain: platform owns negative balance liability and connected-account negative balances enable dispute-time transfer reversals.on_behalf_of, cross-border complexity, non-Connect products, or sales-gated configs).Fee structure checkpoint before Step 4:
application_fee_amount is calculatedRead the decision matrix at references/decision-matrix.md and apply it to the user’s answers. For charge pattern details, read references/charge-patterns.md.
Step 4a — Compatibility validation (MANDATORY before presenting recommendation)
Read 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:
losses_collector: "stripe" + destination charges)reverse_transfer defaults to false on both refunds and disputes, so recovery isn’t automatic. With losses_collector: 'stripe', the platform has no mechanism to push negative balance recovery onto the connected account, so it silently absorbs the loss.”)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 (for example, “dashboard visibility limitations for direct charges when using dashboard: \"express\"”).
Additional compatibility checks (include concise warnings when triggered):
dashboard: "none", include a concise warning that the platform must own onboarding and remediation, refund and dispute flows, and earnings and payout views; recommend Express dashboard with embedded components as a lower-maintenance alternative.dashboard: "full" + fees_collector: "stripe" + charge pattern is destination or separate, treat as BLOCKED. Do NOT present this configuration. Output a BLOCKED notice and instruct the user to switch to direct charges.dashboard: "full" + fees_collector: "application", treat as SALES-GATED regardless of charge pattern. Do NOT recommend for self-serve paths. Redirect to Stripe sales.dashboard: "express" + fees_collector: "stripe" + losses_collector: "stripe" (SES) with direct charges, this is a supported public-preview path — do NOT block it. Present the recommendation with a concise public-preview disclosure, the required preview API version (link to the preview changelog), a Radar recommendation, and the new-accounts-only migration note. Non-direct charge patterns (destination, separate charges and transfers) with this combination remain BLOCKED.dashboard: "express" + fees_collector: "application" + losses_collector: "stripe" (PES) with direct charges, this is also a supported public-preview path — do NOT block it. Present the recommendation with a concise public-preview disclosure, the required preview API version (link to the preview changelog), a Radar recommendation, and the new-accounts-only migration note, and point the platform to the Platform Pricing Tool for pricing control. Non-direct charge patterns with this combination remain BLOCKED.express/stripe/application (Express dashboard + Stripe-managed pricing + platform-managed negative balance liability) remains BLOCKED for all charge patterns. Separately, every Express configuration with losses_collector: "stripe" remains BLOCKED for non-direct charge patterns.Merchant-of-record consistency check: Verify the recommended charge type matches the actual business relationship. Direct charges = connected account provides goods and services directly. Destination and 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" or dashboard: "express"). Select components based on user needs:
Baseline (always include):
account_onboardingnotification_banner (required; keeps connected accounts healthy and enabled as requirements evolve)account_managementCommon additions:
payments (use payment_details if building a custom payments list)payments but can use disputes_list if also building a standalone disputes pagepayoutsbalance_report, payout_reconciliation_reportCharge-pattern compatibility caveats:
Out of scope component families:
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 planRead references/recommendation-template.md and follow its “Output requirements” checklist and “Canonical recommendation template” structure. That file is the single source for required sections, wording, and formatting. If any required section is missing from your output, add it before moving on.
Then ask the user:
Does this recommendation look right?Options (max 4 — options hard limit):
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 planShow a compact summary of decisions and immediate implementation priorities.
Briefly explain:
application_fee_amount math, transfer and reversal handling, and webhook handlersIMPORTANT: Always end with AskUserQuestion. Never end with passive text.
Use AskUserQuestion:
What would you like to do next?Options:
connect-recommend-plan.md and build” — write the plan to a markdown file and handoff to a coding agent© fossasia, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (references) in .agents/skills/connect-recommend of fossasia/eventyay.
Open the folder on GitHubat commit 26ab310
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in fossasia/eventyay, which our catalogue first saw on October 7, 2026.
Connect Recommend next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Connect Recommend this skillfossasia/eventyay | 1.7k | 1 repos | ~5.9k | Automated safety check: Warn | Apache-2.0 | |
| Firecrawl Build Onboardingfirecrawl/firecrawl | 190k | 1 repos | ~1.4k | Automated safety check: Notes | ISC | |
| Dinero Currency Patternsdinerojs/dinero.js | 6.8k | — | ~650 | Automated safety check: Pass | MIT | |
| Stripe Best Practiceskanchengw/cnllm | 175 | 2 repos | ~925 | Automated safety check: Pass | Apache-2.0 | |
| Cashier Stripe Developmentluadotsh/lua | 343 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| EmulateUsefulSoftwareCo/executor | 4.1k | — | ~2.2k | Automated safety check: Notes | MIT |
firecrawl/firecrawl
Gets Firecrawl working in a project: signs you in through the browser, saves FIRECRAWL_API_KEY to .env and picks the first SDK or REST path.
dinerojs/dinero.js
Currency handling patterns for the Dinero.js money library. An agent skill from dinerojs/dinero.js.
kanchengw/cnllm
Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial…
luadotsh/lua
Handles Laravel Cashier Stripe integration including subscriptions, webhooks, Stripe Checkout, invoices, charges, refunds, trials, coupons, metered billing, and payment failure handling.
UsefulSoftwareCo/executor
Use the @executor-js/emulate service emulators (GitHub, Google, Stripe, Resend, WorkOS, …) to test integrations for real — full OpenAPI specs, working OAuth flows, mintable credentials, and a…
mathematic-inc/earl
Scans a codebase for raw API/CLI calls (curl, gh, stripe-cli, psql, grpcurl, etc.) and replaces them with Earl templates — one provider at a time.
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
fossasia/eventyay
A skill your agent uses when building, modifying, or reviewing a Stripe App — or when the user describes something that implies one (e.g.
fossasia/eventyay
Steps for initiating the Django development server without Docker
fossasia/eventyay
Docker Compose, container services, deployment. An agent skill from fossasia/eventyay.
fossasia/eventyay
Guides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents)…
fossasia/eventyay
Repository layout and where to find code. An agent skill from fossasia/eventyay.
Works with
Categories
A skill your agent uses when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform…. Connect Recommend is an agent skill from fossasia/eventyay.
Connect Recommend fits situations like: the user asks about Stripe Connect configuration; charge patterns; dashboard access; how to get started with Connect.
Run `npx skills add fossasia/eventyay --skill connect-recommend -a claude-code`. Or copy the skill folder (.agents/skills/connect-recommend in fossasia/eventyay) into .claude/skills/connect-recommend in your project. Claude Code loads it when a task matches its description.
Run `npx skills add fossasia/eventyay --skill connect-recommend -a codex`. Or copy the skill folder (.agents/skills/connect-recommend in fossasia/eventyay) into .agents/skills/connect-recommend in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fossasia/eventyay --skill connect-recommend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/connect-recommend, .gemini/skills/connect-recommend, .github/skills/connect-recommend and .opencode/skills/connect-recommend in your project.
SKILL.md names no scripts, command-line tools or credentials: Connect Recommend is instructions for the agent only.
SKILL.md names 3 domains. As links in the text: docs.stripe.com, stripe.com and dashboard.stripe.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
Connect Recommend is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.9k tokens (SKILL.md is roughly 24k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 35k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Connect Recommend: Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars), Dinero Currency Patterns (dinerojs/dinero.js, 6.8k stars), Stripe Best Practices (kanchengw/cnllm, 175 stars) and Cashier Stripe Development (luadotsh/lua, 343 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
fossasia (a GitHub organization) maintains it in fossasia/eventyay, which has 1,702 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 9, 2026.
Source: fossasia/eventyay on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.