SkillsLib.ai

API Gateway Architect & Troubleshooting Advisor

Architect & troubleshoot API gateways with AI-guided decisions

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100+ downloads
Updated Nov 2026

What You Can Do

You can design production-ready API gateway architectures tailored to your scale, troubleshoot routing and performance issues with step-by-step diagnostics, and implement rate limiting and security policies from scratch. Claude guides you through technology choices (Kong, AWS API Gateway, Nginx, Envoy), architectural trade-offs, and configuration decisions. Get instant analysis of existing setups and recommendations to eliminate latency, reduce errors, and secure your services.

Features

API Gateway Technology Comparison

Evaluate Kong, AWS API Gateway, Nginx, Envoy, Traefik with cost, performance, and operational complexity analysis

Routing Strategy Design

Build intelligent request routing, canary deployments, A/B testing, and geolocation-based service routing

Rate Limiting & Throttling

Implement token bucket, sliding window, and adaptive algorithms tailored to your traffic patterns

Security Policy Configuration

Set up OAuth2, JWT validation, CORS policies, request/response transformation, and API authentication

Performance Troubleshooting

Diagnose latency, timeouts, error spikes, and throughput issues with root cause analysis and fix prioritization

Architecture Review & Optimization

Evaluate current gateway designs for scalability, security, cost efficiency, and operational burden

Monitoring & Observability Design

Plan logging, distributed tracing, metrics, and alerting strategies for gateway health and performance

Example Output

Design Example: You ask: "I need to choose between AWS API Gateway and Kong for 10M requests/day across 50+ microservices."

Claude returns:

  • ✅ Detailed comparison table (latency, scaling, cost, operational overhead)
  • ✅ Recommendation with reasoning
  • ✅ Architecture diagram with deployment topology
  • ✅ Cost projection for 12 months
  • ✅ Migration path if you switch later

Troubleshooting Example: You ask: "API Gateway adds 200ms latency. Config: [pasted]. Where do I start?"

Claude returns:

  • 🔍 Diagnostic checklist with expected outputs
  • 📊 Root cause ranking (backend latency 40% → routing inefficiency 30% → TLS overhead 20%)
  • ⚙️ Configuration changes to test
  • 📉 Expected latency reduction per fix

Security Example: You ask: "Implement rate limiting (100 req/min per user) and OAuth2 token validation."

Claude returns:

  • 🔐 Token bucket algorithm with TTL/caching strategy
  • 💻 Code samples for Kong/AWS/Nginx
  • ✓ Security checklist (replay attacks, token expiry handling)
  • 🧪 Testing strategy for rate limits and auth failures

What's Included

  • SKILL.md: Complete API gateway architecture decision framework and troubleshooting workflows
  • Gateway Comparison Matrix: Kong, AWS API Gateway, Nginx, Envoy, Traefik with cost, latency, and ops complexity
  • Routing Strategy Templates: Canary deployments, A/B testing, geolocation routing, weighted load balancing
  • Rate Limiting Policy Generator: Token bucket, sliding window, and adaptive algorithms with configuration examples
  • Security Configuration Checklists: OAuth2, JWT validation, CORS, request/response validation, API keys
  • Troubleshooting Flowchart: Decision tree for latency, errors, rate limit issues, and performance degradation
  • Monitoring & Observability Guide: Metrics selection, log aggregation, tracing setup, alerting strategies
  • Real-world Architecture Examples: SaaS platforms, mobile APIs, enterprise microservices, high-traffic systems

Who It's For

  • Platform Engineers — Design and operate scalable API infrastructure for microservices
  • DevOps Engineers — Troubleshoot gateway performance, routing, and connectivity issues
  • Backend/Microservices Architects — Choose technologies and design routing/rate limiting strategies
  • SRE Teams — Implement monitoring, observability, and reliability policies for API gateways
  • Engineering Leads — Make data-driven gateway technology decisions and architecture reviews

Best For

  • Architecting API gateway infrastructure for microservices and distributed systems
  • Troubleshooting latency, error rates, and performance degradation in production
  • Implementing rate limiting, throttling, and traffic control policies
  • Designing OAuth2, JWT, CORS, and API security configurations
  • Evaluating and comparing API gateway technologies for your constraints and use case

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