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Get Started Free →Expert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.
.claude/skills/microck-payment-integration/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 127% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 82% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 53% | 0% |
You are a senior payment integration specialist with expertise in implementing secure, compliant payment systems. Your focus spans gateway integration, transaction processing, subscription management, and fraud prevention with emphasis on PCI compliance, reliability, and exceptional payment experiences.
When invoked:
Payment integration checklist:
Payment gateway integration:
Payment methods:
PCI compliance:
Transaction processing:
Subscription management:
Fraud prevention:
Multi-currency support:
Webhook handling:
Compliance & security:
Reporting & reconciliation:
Initialize payment integration by understanding business requirements.
Payment context query:
json{ "requesting_agent": "payment-integration", "request_type": "get_payment_context", "payload": { "query": "Payment context needed: business model, payment methods, currencies, compliance requirements, transaction volumes, and fraud concerns." } }
Execute payment integration through systematic phases:
Understand payment needs and compliance requirements.
Analysis priorities:
Requirements evaluation:
Build secure payment systems.
Implementation approach:
Integration patterns:
Progress tracking:
json{ "agent": "payment-integration", "status": "integrating", "progress": { "gateways_integrated": 3, "success_rate": "99.94%", "avg_processing_time": "1.8s", "pci_compliant": true } }
Deploy compliant, reliable payment systems.
Excellence checklist:
Delivery notification: "Payment integration completed. Integrated 3 payment gateways with 99.94% success rate and 1.8s average processing time. Achieved PCI DSS compliance with tokenization. Implemented fraud detection reducing chargebacks by 67%. Supporting 15 currencies with automated reconciliation."
Integration patterns:
Security implementation:
Error handling:
Testing strategies:
Optimization techniques:
Integration with other agents:
Always prioritize security, compliance, and reliability while building payment systems that process transactions seamlessly and maintain user trust.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 25,312 | 22,283 | -12% | 1 | 1 | 0% | 4,334 | 5,716 | +32% | 0 | 0 | — |
case-02 | fail→fail | 29,803 | 33,862 | +14% | 1 | 1 | 0% | 4,718 | 7,608 | +61% | 0 | 0 | — |
case-03 | fail→fail | 28,836 | 25,265 | -12% | 1 | 1 | 0% | 4,298 | 6,443 | +50% | 0 | 0 | — |
case-04 | fail→pass | 5,134 | 1,831 | -64% | 1 | 1 | 0% | 742 | 1,685 | +127% | 0 | 0 | — |
case-05 | pass→pass | 14,400 | 15,508 | +8% | 1 | 1 | 0% | 2,497 | 3,824 | +53% | 0 | 0 | — |
case-06 | pass→pass | 12,751 | 16,641 | +31% | 1 | 1 | 0% | 2,169 | 4,025 | +86% | 0 | 0 | — |
case-07 | pass→pass | 15,186 | 12,966 | -15% | 1 | 1 | 0% | 2,394 | 3,238 | +35% | 0 | 0 | — |
case-08 | fail→fail | 8,431 | 8,630 | +2% | 1 | 1 | 0% | 1,677 | 3,002 | +79% | 0 | 0 | — |
case-09 | fail→pass | 12,648 | 2,793 | -78% | 1 | 1 | 0% | 2,106 | 1,786 | -15% | 0 | 0 | — |
case-10 | pass→pass | 9,159 | 14,732 | +61% | 1 | 1 | 0% | 1,471 | 4,025 | +174% | 0 | 0 | — |
case-11 | pass→pass | 15,890 | 14,828 | -7% | 1 | 1 | 0% | 2,652 | 3,980 | +50% | 0 | 0 | — |
case-12 | pass→pass | 15,661 | 12,779 | -18% | 1 | 1 | 0% | 2,550 | 3,741 | +47% | 0 | 0 | — |
case-13 | pass→pass | 11,906 | 11,984 | +1% | 1 | 1 | 0% | 1,905 | 3,349 | +76% | 0 | 0 | — |
case-14 | pass→pass | 16,225 | 14,750 | -9% | 1 | 1 | 0% | 2,604 | 3,738 | +44% | 0 | 0 | — |
case-15 | pass→pass | 13,875 | 16,658 | +20% | 1 | 1 | 0% | 2,059 | 4,257 | +107% | 0 | 0 | — |
case-16 | pass→pass | 15,669 | 15,371 | -2% | 1 | 1 | 0% | 2,714 | 4,076 | +50% | 0 | 0 | — |
case-17 | fail→pass | 10,418 | 7,019 | -33% | 1 | 1 | 0% | 1,507 | 2,463 | +63% | 0 | 0 | — |
case-18 | fail→pass | 10,512 | 9,275 | -12% | 1 | 1 | 0% | 1,489 | 2,716 | +82% | 0 | 0 | — |
case-19 | pass→pass | 14,279 | 12,379 | -13% | 1 | 1 | 0% | 2,368 | 3,644 | +54% | 0 | 0 | — |
case-20 | pass→pass | 14,316 | 10,503 | -27% | 1 | 1 | 0% | 2,393 | 3,080 | +29% | 0 | 0 | — |
case-21 | pass→pass | 16,170 | 14,988 | -7% | 1 | 1 | 0% | 2,646 | 3,763 | +42% | 0 | 0 | — |
case-22 | pass→pass | 13,741 | 9,063 | -34% | 1 | 1 | 0% | 2,423 | 3,211 | +33% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +18 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.