telemetry
claudePlugin analytics: hooks $.telemetry's two events, so a plugin logs an event or marks a feature's use as a first-party row, sent in batches with the session's own credential.
Query and investigate traces, logs, and metrics from an OpenSearch-based observability stack using PPL and PromQL
Plugin observability from marketplace observability-stack in opensearch-project/observability-stack. Commands read from the repo's manifest — 2 days ago.
apm-redAPM RED metrics (Rate, Errors, Duration) for service-level monitoring using PromQL and PPL queries.
correlationCross-signal correlation between traces, logs, and metrics using OTel semantic convention fields for end-to-end observability investigations.
logsQuery and search log data from OpenSearch using PPL for severity filtering, trace correlation, error patterns, and log volume analysis.
metricsQuery metrics from Prometheus using PromQL for HTTP request rates, latency percentiles, error rates, active connections, and GenAI token usage.
osd-configQuery OpenSearch Dashboards APIs for workspace configuration, index pattern discovery, APM correlation configs, and saved objects.
ppl-referenceComprehensive PPL (Piped Processing Language) reference for OpenSearch with command syntax, functions, and examples for observability queries.
slo-sliSLO/SLI definitions, Prometheus recording rules, error budget calculations, and burn rate alerting for service reliability management.
stack-healthCheck observability stack component health, verify data ingestion, and troubleshoot common issues.
tracesQuery and investigate trace data from OpenSearch using PPL for agent invocations, tool executions, errors, latency, and token usage analysis.
Plugin analytics: hooks $.telemetry's two events, so a plugin logs an event or marks a feature's use as a first-party row, sent in batches with the session's own credential.
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · hooks
Structured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry
2 skills · 1 command · 1 agent
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Install the "AAS Observability & Incident Response" editorial skill bundle for Claude Code.
12 skills
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
12 skills · 1 MCP server · hooks
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