observability-monitoring-monitor-setup

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

6 stars

Best use case

observability-monitoring-monitor-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

Teams using observability-monitoring-monitor-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/observability-monitoring-monitor-setup/SKILL.md --create-dirs "https://raw.githubusercontent.com/netbarros/psique/main/.codex/skills/observability-monitoring-monitor-setup/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/observability-monitoring-monitor-setup/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How observability-monitoring-monitor-setup Compares

Feature / Agentobservability-monitoring-monitor-setupStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Monitoring and Observability Setup

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.

## Use this skill when

- Working on monitoring and observability setup tasks or workflows
- Needing guidance, best practices, or checklists for monitoring and observability setup

## Do not use this skill when

- The task is unrelated to monitoring and observability setup
- You need a different domain or tool outside this scope

## Context
The user needs to implement or improve monitoring and observability. Focus on the three pillars of observability (metrics, logs, traces), setting up monitoring infrastructure, creating actionable dashboards, and establishing effective alerting strategies.

## Requirements
$ARGUMENTS

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

## Output Format

1. **Infrastructure Assessment**: Current monitoring capabilities analysis
2. **Monitoring Architecture**: Complete monitoring stack design
3. **Implementation Plan**: Step-by-step deployment guide
4. **Metric Definitions**: Comprehensive metrics catalog
5. **Dashboard Templates**: Ready-to-use Grafana dashboards
6. **Alert Runbooks**: Detailed alert response procedures
7. **SLO Definitions**: Service level objectives and error budgets
8. **Integration Guide**: Service instrumentation instructions

Focus on creating a monitoring system that provides actionable insights, reduces MTTR, and enables proactive issue detection.

## Resources

- `resources/implementation-playbook.md` for detailed patterns and examples.

Related Skills

service-mesh-observability

6
from netbarros/psique

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SL...

observability-monitoring-slo-implement

6
from netbarros/psique

You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based practices. Design SLO frameworks, define SLIs, and build monitoring that ba...

observability-engineer

6
from netbarros/psique

Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.

environment-setup-guide

6
from netbarros/psique

Guide developers through setting up development environments with proper tools, dependencies, and configurations

database-migrations-migration-observability

6
from netbarros/psique

Migration monitoring, CDC, and observability infrastructure

conductor-setup

6
from netbarros/psique

Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)

azure-monitor-query-py

6
from netbarros/psique

Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.

azure-monitor-query-java

6
from netbarros/psique

Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.

azure-monitor-opentelemetry-ts

6
from netbarros/psique

Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Appli...

azure-monitor-opentelemetry-py

6
from netbarros/psique

Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.

azure-monitor-opentelemetry-exporter-py

6
from netbarros/psique

Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.

azure-monitor-opentelemetry-exporter-java

6
from netbarros/psique

Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights.