afu-it

afu-it / malaysia-payment-gateway

Public

Agent skills for implementing Malaysia payment gateway integrations.

agent-skills bayarcash chip codex curlec
14
2
85% credibility
Found May 23, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is a collection of guides that help AI coding assistants understand how to set up Malaysian payment gateways. If you're a developer building an app or website that needs to accept payments in Malaysia, these guides teach your AI assistant how to connect to popular services like CHIP, Xendit, Curlec, Bayarcash, and BCL. Your assistant learns to build checkout pages, handle payment confirmations securely, verify that payments are real, and test everything works before going live. It's like having an expert helper who already knows the ins and outs of Malaysian payment integrations.

How It Works

1
💡 You need to accept payments in Malaysia

You're building an app or website and want to let customers pay using popular Malaysian methods like FPX bank transfers, DuitNow QR codes, or e-wallets.

2
🔍 You find this collection of payment guides

Someone shared a set of ready-made guides for connecting to Malaysian payment services like CHIP, Xendit, Curlec, Bayarcash, and BCL.

3
You pick your payment provider
🏦
CHIP Collect

For card payments and modern checkout flows

💸
Xendit

For hosted checkout pages and payment sessions

🔄
Curlec

For Razorpay-powered local payment flows

💳
Bayarcash or BCL

For QR payments and terminal-based transactions

4
🤖 Your AI assistant learns how to help

You install the guide into your AI coding assistant, and it suddenly knows everything about setting up that payment provider correctly.

5
💬 You ask your assistant to build it for you

You simply tell your assistant what you want, and it reads the guide, understands your project, and writes the code to make payments work.

6
✅ Your assistant follows security best practices

The guide ensures your assistant sets up payment verification, protects sensitive data, and makes sure only real payments unlock access to your service.

🎉 Your app accepts Malaysian payments

Your customers can now pay using their preferred method, and your app handles everything safely and correctly.

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AI-Generated Review

What is malaysia-payment-gateway?

This is a collection of AI agent skills designed to help developers integrate Malaysian payment gateways. Instead of writing integration code from scratch, you install these skills into AI coding assistants and ask them to implement FPX bank transfers, DuitNow QR codes, card payments, and e-wallet flows. The package covers five major providers: Xendit, CHIP Collect, Curlec (Razorpay), Bayarcash, and BCL Pay. Installation happens through a simple CLI command, and each skill includes guidance on server-side checkout, webhook verification, and idempotent settlement handling.

Why is it gaining traction?

Malaysia's payment landscape is fragmented. Each provider has different API shapes, signature verification methods, and sandbox quirks. This repo packages that knowledge into reusable agent prompts, so you do not have to reverse-engineer integrations from scattered docs. The hook is practical: ask your AI assistant to implement checkout and settlement together, not in isolation. It also enforces security rules by default, like keeping secrets server-side and verifying webhook signatures before marking payments complete.

Who should use this?

Backend developers building payment flows for Malaysian apps will benefit most. If you need to integrate Xendit, CHIP, Curlec, Bayarcash, or BCL and want to avoid common pitfalls around signature verification and duplicate webhook handling, these skills accelerate the process. Teams without in-house payments expertise can use this as a scaffolding layer, then validate outputs against official documentation before going live.

Verdict

The concept addresses a real gap for Malaysia-focused developers, but the project is early. With only 14 stars and a credibility score of 0.8500000238418579%, it lacks community validation and production battle-testing. Use it as a helpful starting point and reference, but do not deploy the generated code without reviewing it against each provider's official docs.

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