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marquesfelip
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api-performance

Diagnose and optimize API latency and throughput for backend services.

Updated Mar 29, 2026
Search Tags:#caching#profiling#tracing#latency#throughput#api-performance#http2
One-click install
npx skills add https://github.com/marquesfelip/agents-and-skills --skill api-performance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: api-performance
Source: https://github.com/marquesfelip/agents-and-skills/tree/main/skills/api-performance
Command: npx skills add https://github.com/marquesfelip/agents-and-skills --skill api-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

API latency optimization and throughput strategies for backend services.

Core Features & Use Cases

  • Profile bottlenecks with profiling and tracing to identify top offenders
  • Parallelize independent downstream calls using errgroup and bounded concurrency
  • Optimize payloads with sparse fieldsets, efficient serialization, and compression
  • Implement HTTP caching with ETag and Cache-Control to reduce repeated work
  • Apply timeouts and circuit breakers to bound cascading failures
  • Instrument and monitor performance with distributed tracing and dashboards

Quick Start

Run a targeted API performance optimization plan for a given slow endpoint and implement parallelism, caching, and timeout strategies.

Frequently Asked Questions about api-performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce API latency for backend services with multiple downstream dependencies?▼

Reduce API latency by profiling bottlenecks, parallelizing independent downstream calls with errgroup, enforcing per-request deadlines, and applying robust timeouts to prevent cascading failures.

What is the best way to optimize API throughput and prevent cascading failures?▼

Optimize API throughput by bounding cascading failures with circuit breakers, applying HTTP caching using ETag and Cache-Control, and optimizing payloads with sparse fieldsets and compression.

How does distributed tracing work to identify API performance bottlenecks?▼

Distributed tracing profiles top offenders across backend services by instrumenting requests, allowing you to monitor performance and pinpoint slow downstream dependencies within your architecture.

Can I parallelize downstream API calls to improve backend performance?▼

Yes, you can parallelize independent downstream API calls using errgroup and bounded concurrency to execute requests simultaneously while enforcing per-request deadlines.

When should I apply circuit breakers and timeouts for API performance tuning?▼

Apply circuit breakers and robust timeouts when backend APIs have multiple downstream dependencies to bound cascading failures, enforce per-request deadlines, and maintain throughput under load.

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