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realtime-analytics-api

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Actualizado4 de abril de 2026 a las 12:14

Define backend-to-frontend delivery patterns for near-realtime vacancy analytics, freshness indicators, and streaming updates.

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Fuente

ivanshamaev

ivanshamaev/ai-agent-codex

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SKILL.md

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name	realtime-analytics-api
description	Define backend-to-frontend delivery patterns for near-realtime vacancy analytics, freshness indicators, and streaming updates.
license	MIT
compatibility	opencode
metadata	{"audience":"frontend-and-backend-engineers","domain":"realtime-analytics"}

What I do

Define when polling, SSE, or websocket delivery is appropriate.
Clarify freshness, update frequency, and client expectations.
Shape incremental update payloads so the UI can merge them predictably.
Identify which metrics should stream and which should stay request-based.

Decision guide

polling for simple periodic refresh
SSE for one-way metric updates and notifications
websocket for bidirectional or high-frequency interactions

Required semantics

current freshness timestamp
update cadence
replay or reconnect behavior
filter context tied to the update stream
stale-state behavior in the UI

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name	realtime-analytics-api
description	Define backend-to-frontend delivery patterns for near-realtime vacancy analytics, freshness indicators, and streaming updates.
license	MIT
compatibility	opencode
metadata	{"audience":"frontend-and-backend-engineers","domain":"realtime-analytics"}

What I do

Define when polling, SSE, or websocket delivery is appropriate.
Clarify freshness, update frequency, and client expectations.
Shape incremental update payloads so the UI can merge them predictably.
Identify which metrics should stream and which should stay request-based.

Decision guide

polling for simple periodic refresh
SSE for one-way metric updates and notifications
websocket for bidirectional or high-frequency interactions

Required semantics

current freshness timestamp
update cadence
replay or reconnect behavior
filter context tied to the update stream
stale-state behavior in the UI