homelab-observability
Skill1 starsChanged 5 months agoNo licenceView on GitHub
Operational knowledge for the homelab LGTM stack (Grafana, Loki, Tempo, Prometheus on observability-vm). Use when adding a Prometheus scrape target, adding or modifying a Grafana dashboard or data source, troubleshooting why a VM's logs aren't reaching Loki, fixing Alloy label issues, tweaking Tempo config, wiring up trace pipelines, scraping LiteLLM /metrics with bearer-token auth, configuring LiteLLM OTLP push to Tempo, debugging missing traces or stale Tempo search results, building dashboards via the Python generator pattern, or understanding what runs where in the metrics/logs/traces stack. Covers the specific homelab deployment in homelab-services/services/observability/ + the Alloy + Node Exporter install in homelab-platform/ansible/base-vm.yml + the LiteLLM telemetry wiring in local-inference-infrastructure, not general LGTM usage.
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 1 is distinctive, and 7 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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