home/skills/design/logging-observability

Logging Observability

ClawHub

Structured logging, distributed tracing, and metrics collection patterns for building observable systems. Use when implementing logging infrastructure, setting up distributed tracing with OpenTelemetry, designing metrics collection (RED/USE methods), configuring alerting and dashboards, or reviewing observability practices. Covers structured JSON logging, context propagation, trace sampling, Prometheus/Grafana stack, alert design, and PII/secret scrubbing.

skillDesignui-designclawhubSource โ†’
loggingobservabilitystructureddistributedtracingmetricscollectionusepatternsbuilding
# Logging Observability

Structured logging, distributed tracing, and metrics collection patterns for building observable systems. Use when implementing logging infrastructure, setting up distributed tracing with OpenTelemetry, designing metrics collection (RED/USE methods), configuring alerting and dashboards, or reviewing observability practices. Covers structured JSON logging, context propagation, trace sampling, Prometheus/Grafana stack, alert design, and PII/secret scrubbing.

## Discovery Metadata
- Category: `design`
- Framework: `ClawHub`
- Tags: `logging`, `observability`, `structured`, `distributed`, `tracing`, `metrics`, `collection`, `use`, `patterns`, `building`

## Agent Execution Policy

This listing is **discovery metadata only**. Canonical instructions are maintained by ClawHub.

### Before Executing Actions

1. **Fetch canonical instructions** from: https://clawhub.ai/skill/logging-observability
2. **Parse the skill page** for setup, usage, and input/output requirements.
3. **Only proceed** after successfully loading and understanding the full instructions.

### If Fetch Fails

- Return `instruction_unavailable` with reason.
- Do **not** attempt to infer or improvise execution steps from this metadata alone.

## Source

- ClawHub listing: https://clawhub.ai/skill/logging-observability
๐Ÿงช Found this useful?
The $SKILL experiment is building the agent skill distribution layer. Every skill you discover through this directory is part of the experiment.