vigil-instrument

Instrument backend services with structured logging, RED metrics, tracing, and health checks.

69|8|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/tonone-ai/tonone --skill vigil-instrument
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vigil-instrument
Source: https://github.com/tonone-ai/tonone/tree/main/team/vigil/skills/vigil-instrument
Command: npx skills add https://github.com/tonone-ai/tonone --skill vigil-instrument

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Instrument a service with structured logging, RED metrics, distributed tracing, and health checks to improve observability.

Core Features & Use Cases

  • Standardized logging, metrics, and traces across backend services to reduce debugging time.
  • Quick adoption across languages and environments, with consistent instrumentation patterns.
  • Use case: when you need to rapidly add visibility during development, deployment, or incident response.

Quick Start

Instrument a service with logging, metrics, tracing, and a health endpoint.

Frequently Asked Questions about vigil-instrument

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add observability to a backend service using structured logging, metrics, and tracing?

Structured logging, RED metrics, distributed tracing, and health checks provide end-to-end service observability. This standardized instrumentation reduces debugging time and enables quick adoption during development, deployment, or incident response across backend services.

What is the best way to standardize distributed tracing and metrics across multiple backend services?

Standardizing distributed tracing and metrics across multiple backend services is best achieved by applying consistent instrumentation patterns like OpenTelemetry and RED metrics. This ensures uniform visibility and reduces debugging time across different languages and environments.

Can I instrument OpenTelemetry tracing and RED metrics across different programming languages?

Yes, you can instrument OpenTelemetry tracing and RED metrics across different programming languages. The instrumentation patterns apply to backend services across languages, enabling consistent observability and quick adoption in various development environments.

How do I set up a health check endpoint and RED metrics during an incident response?

Setting up a health check endpoint and RED metrics during incident response requires quickly instrumenting your service with safe defaults. This rapid adoption provides immediate visibility into service health and rate, errors, and duration metrics to resolve the incident.

Do I need a specific monitoring backend to export structured logs and traces?

You need a monitoring backend to export structured logs and traces, but the instrumentation uses safe defaults for quick adoption. The approach requires a structured logging library, RED metrics, and OpenTelemetry tracing to export the data effectively.