latency-critical-systems
Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter. Use when p95 latency or data freshness matters — realtime dashboards, market data, streaming agents, queues, or caches.
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A SKILL.md agent skill for latency-sensitive work, organized into a checklist and rules section. It covers splitting metrics, mapping the hot path, an ordered optimization approach (round trips, caching with freshness metadata, batching, moving compute), verification via live readbacks, and guardrails against dropping validation or hiding stale data.
Reach for it when p95 latency or data freshness matters and you want the agent to follow a structured optimization and verification process rather than ad-hoc 'make it fast' changes.
Use it to
- Map the hot path from event to visible state
- Order optimization steps: round trips, caching, batching, locality
- Verify deployed latency with live readbacks
- Enforce guardrails against stale cache hits or skipped validation
- Track p95 and freshness metrics separately
For Engineers building realtime dashboards, market data, streaming, or HFT-like systems
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