Start a local OTLP server and query traces, logs, and metrics.
npx skills add https://github.com/hrntknr/otel-cli --skill otel-cli
Please help me install this Agent Skill. Skill: otel-cli Source: https://github.com/hrntknr/otel-cli/tree/main/skills/otel-cli Command: npx skills add https://github.com/hrntknr/otel-cli --skill otel-cli
OpenTelemetry data is often scattered across services and it can be hard to run a local collector to observe traces, logs, and metrics during development. This skill provides a self-contained local OTLP server with built-in query capabilities to quickly inspect observable data.
Start the local OTLP server with otel-cli server --no-tui and begin querying traces, logs, and metrics to verify observability data.
High-intent search queries and answers about installing and using this skill.
You can debug OpenTelemetry traces and logs locally by starting a self-contained local OTLP server to collect, query, and inspect observable data in real-time. This allows you to validate observability outputs directly during your development workflow.
Yes, you can query OpenTelemetry metrics, traces, and logs from an in-memory local server store using specific filters and time ranges. This enables precise inspection of observability data generated during local application testing.
The best way to validate observability outputs is to start a local OTLP server and attach to it in real-time follow mode. This captures live traces, logs, and metrics, allowing you to verify data as your application executes locally.
No, you do not need a remote collector to inspect and troubleshoot OpenTelemetry data. You can run a local OTLP server with built-in query capabilities to quickly observe and debug traces, logs, and metrics in-memory.
OpenTelemetry traces are often scattered across services, making them hard to observe without a centralized collector. Starting a local OTLP server resolves this by aggregating and querying your local observability data in a single in-memory store.
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