coding-monitoring

Interpret SDLC states, PR status, and CI health from coding-monitor output.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill coding-monitoring
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-monitoring
Source: https://github.com/lygav/vladi-plugins-marketplace/tree/main/plugins/squad-archetype-coding/meta/skills/coding-monitoring
Command: npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill coding-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interpret and translate coding-monitor output into actionable team health insights, enabling timely coaching and intervention.

Core Features & Use Cases

  • Interpret SDLC state indicators and PR timing from coding-monitor output to identify blockers and bottlenecks.
  • Assess CI health, last commit activity, and readiness for deployment.
  • Provide guidance on when to intervene in specific states (e.g., pr-review delays, blocked implementing).

Quick Start

Ask the AI to interpret the latest coding-monitoring output and produce a concise health summary with recommended actions.

Frequently Asked Questions about coding-monitoring

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

FAQPage Schema
How do I interpret SDLC state indicators from coding-monitor output?

To interpret SDLC state indicators from coding-monitor output, you analyze structured data to identify archetypes like implementing or pr-review. This maps current development states to recommended leadership actions and coaching interventions.

What is the best way to detect PR review bottlenecks using SDLC monitoring data?

The best way to detect PR review bottlenecks using SDLC monitoring data is to track pr-open and pr-review state timings. Identifying delays in these states provides escalation cues to unblock software delivery.

How do I assess CI health and deployment readiness from monitor outputs?

You assess CI health and deployment readiness from monitor outputs by evaluating last commit activity alongside current SDLC states. This identifies blocked implementing states and generates actionable insights for intervention thresholds.

When should I intervene in a blocked implementing state during software delivery?

You should intervene in a blocked implementing state during software delivery when monitor data indicates stalled commit activity or failing CI health. Mapping these states to escalation cues informs timely team coaching decisions.

Can I use coding-monitoring outputs for team coaching on active software delivery pipelines?

Yes, you can use coding-monitoring outputs for team coaching on active software delivery pipelines. Parsing structured monitor data translates PR status and CI health into actionable signals to guide leadership interventions.