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Latency Critical Systems

affaan-m/everything-claude-code

Built for anyone shipping realtime dashboards, market data feeds, streaming agents, or execution infrastructure where p95 latency and freshness actually matter. It walks you through splitting metrics properly (p50/p95/p99, throughput, queue depth, cache hit rate), mapping the hot path from source event to browser render, and optimizing in the right order: kill round trips, cache with freshness metadata, batch writes, move compute closer to data. The verification section is solid, especially the guardrails around not hiding stale data behind fast caches and not claiming millisecond behavior without measurement. It won't help you write trading algorithms, but it will help you measure and fix the infrastructure around them.

skills.sh installs
818
GitHub stars
229.1K
last updated
Jul 14, 2026
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Install

$ npx -y skills add affaan-m/everything-claude-code --skill latency-critical-systems --agent claude-code

Installs into .claude/skills of the current project.

Files

Latency Critical Systems

Use this skill when the user cares about realtime behavior, hot paths, streaming freshness, or execution speed. This includes HFT-like infrastructure, but the skill is engineering-focused. It does not authorize live trading or financial advice.

Split The Metrics

Do not collapse everything into "fast." Track:

  • p50, p95, and p99 latency;
  • throughput;
  • freshness age;
  • queue depth;
  • cache hit rate;
  • provider/API response time;
  • browser render time;
  • correctness under load;
  • failure and retry behavior.

Map The Hot Path

Write the path from user/event to final visible state:

source event -> provider API -> ingest worker -> queue -> cache -> edge route
-> client stream -> browser render -> user-visible state

Then measure each segment separately.

Optimization Order

SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/affaan-m/everything-claude-code
First seen
Jul 14, 2026

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