Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
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.
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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:
{
"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:
{
"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.
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概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。