observability-service-reliability
Design and operate service reliability targets in Elastic Observability: choose an SLI type and a defensible target, pick a time window and budgeting method, create and maintain SLOs through the Kibana API, attach burn-rate alert rules, and decide when an SLO is the wrong instrument and a threshold rule, anomaly job, or synthetics monitor is right. Use when defining or reviewing SLOs and error budgets, tuning burn-rate alerting, reducing alert noise, or setting up availability monitoring for a user-facing endpoint.
Install
With your agent
Install OMGSkills skill "elastic/claude-plugin:skills/observability/service-reliability" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/elastic/claude-plugin /tmp/claude-plugin && ln -s /tmp/claude-plugin/skills/observability/service-reliability ~/.claude/skills/observability-service-reliabilityFrom README
Service Reliability Design reliability targets that people will actually act on, then operate them. This skill covers the judgment before the API call — which service-level indicator fits the data you have, what target is achievable rather than aspirational, whether an SLO is even the right instrument — and then the mechanics of creating, alerting on, resetting, and retiring SLOs through the Kibana API. Reliability instruments are not interchangeable. An SLO measures a user-visible outcome against a spendable budget; a threshold rule fires on a raw condition; an anomaly job finds deviations where no fixed threshold exists; a synthetics monitor is the only one of the four that can see a service that has stopped emitting telemetry entirely. Choosing wrong produces alerts that are technically correct and operationally useless.
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