monitor

Monitor deployed applications with health checks, metrics collection, and backlog issue generation.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/sofer/.agents --skill monitor-sofer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monitor
Source: https://github.com/sofer/.agents/tree/main/skills/monitor
Command: npx skills add https://github.com/sofer/.agents --skill monitor-sofer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Observability and feedback loops are essential to verify that deployed software meets health, performance, and user expectations. This skill provides structured monitoring to confirm availability, collect metrics, and channel issues back into the backlog for continuous improvement.

Core Features & Use Cases

  • Health checks: automated availability and dependency checks to detect outages early.
  • Metrics and alerting: collect latency, error rates, and throughput to trigger timely responses.
  • Feedback integration: synthesize user and system feedback into backlog items for the team.

Quick Start

Set up a post-deploy monitoring plan that validates health, collects metrics, and pushes issues to the backlog.

Frequently Asked Questions about monitor

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

FAQPage Schema
How do I monitor application health and collect metrics after deployment?

To monitor application health after deployment, you can set up a post-deploy plan that enforces automated health checks, collects latency and throughput metrics, and triggers alerting based on configurable thresholds.

What is the best way to feed observability issues back into the development backlog?

The best way to feed observability issues into the backlog is to synthesize user feedback and collected metrics into structured backlog items, ensuring continuous improvement and tracking of post-deployment performance goals.

Can I use configurable thresholds for alerting on error rates and latency?

Yes, you can use configurable thresholds for alerting on metrics like error rates and latency, allowing you to trigger timely responses when collected data violates the success criteria you define for your endpoints.

Does post-deploy monitoring work for validating availability across multiple services?

Post-deploy monitoring works for validating availability across multiple services by applying automated health checks and dependency checks to continuously verify success criteria and detect outages early.

How do I set up a post-deploy monitoring plan to verify continuous success criteria?

You set up a post-deploy monitoring plan by defining success criteria across endpoints, configuring metrics collection and alerting thresholds, and automating feedback synthesis to push detected issues directly into the backlog.