Individual skill
cometchat-analytics
See what your chat is doing — pull usage & message metrics via REST, stream real-time events to your data/observability stack via webhooks, monitor client-side errors & the init/login path, and read push/call logs. Cross-family: metrics/webhooks are server-side; client error monitoring wires per family. Triggers: 'chat analytics', 'usage metrics', 'message volume', 'monitor cometchat', 'observability', 'send chat events to datadog/segment/bigquery', 'track delivery', 'error monitoring for chat', 'dashboards for chat'.
plugins/cometchat/cometchat-skills/skills/cometchat-analytics/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
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- Last checked
- Nov 9, 2026
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- 1,543
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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SKILL.mdcore · 6,225 bytes
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> **Ground truth:** shapes are FETCHED from the live docs — `{DOCS_BASE}/rest-api/metrics/usage-metrics`, `/rest-api/metrics/message-metrics`, `/fundamentals/webhooks` (+ `/rest-api/management-apis/webhooks/overview`), `/notifications/logs`, `/rest-api/calls-apis/get-call`, and on-prem `/on-premise-deployment/docker/monitoring`. `DOCS_BASE = https://www.cometchat.com/docs`; append `.md`. Verify each metric field / event name against the docs before charting it; don't invent a metric.
## Use this skill when
You need visibility into chat: product analytics (DAU, messages, retention), an ops/observability signal (delivery, errors, latency), or feeding chat events into an existing warehouse/monitoring stack.
## Three layers of visibility
| Layer | Source | Use it for |
| --- | --- | --- |
| **Aggregate metrics** | Metrics REST API (usage + message) | dashboards, MAU/DAU, message volume, growth |
| **Real-time events** | Webhooks | stream every message/user/group/call event to your pipeline |
| **Client health** | your error monitor + the kit's error boundary/listeners | init/login failures, render errors, UX latency |
## 1. Aggregate metrics (REST, server-side)
- **Usage metrics** (`{DOCS_BASE}/rest-api/metrics/usage-metrics`) — active users and usage over time.