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consultant-monitoring

Translate consultant monitoring JSON into per-team status summaries and aggregate health signals.

Updated Apr 12, 2026
Search Tags:#monitoring#insights#json#data-analysis#team-health#consultant
One-click install
npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill consultant-monitoring
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: consultant-monitoring
Source: https://github.com/lygav/vladi-plugins-marketplace/tree/main/plugins/squad-archetype-consultant/meta/skills/consultant-monitoring
Command: npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill consultant-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Interprets mechanical monitoring data from consultant-monitor.ts and presents human-readable insights to explain team status, health, and progress.

Core Features & Use Cases

  • Automatically translate per-team state, health, progress, and metadata into concise, actionable summaries.
  • Produce both per-team and aggregate health reports with recommended next steps.
  • Use Case: A squad lead wants a quick overview of which consultants are ready or stalled and what to focus on next.

Quick Start

Provide a concise briefing from the latest consultant-monitor.json for all teams.

Frequently Asked Questions about consultant-monitoring

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

FAQPage Schema
How do I turn JSON monitoring data into actionable team-health insights?▼

You can parse JSON monitoring data containing teams, state, health, progressPct, and metadata fields to automatically generate concise per-team status summaries and aggregate health signals for actionable insights.

What is the best way to summarize multi-team monitoring outputs for a squad lead?▼

The best way to summarize multi-team monitoring outputs is to process the JSON data to produce per-team status reports and an aggregate health overview, highlighting which consultants are ready or stalled alongside recommended next steps.

Can I generate aggregate health reports from consultant monitoring JSON?▼

Yes, generating aggregate health reports from consultant monitoring JSON involves parsing multi-team data structures to extract state and health metrics, producing a unified human-readable summary of overall team progress.

What JSON fields are required to produce per-team status summaries?▼

Producing per-team status summaries requires JSON fields including teams, state, health, progressPct, metadata, and summary to accurately translate mechanical monitoring data into human-readable consultant insights.

Does this data analysis approach work for tracking stalled consultants across multiple teams?▼

Yes, this data analysis approach works for tracking stalled consultants by parsing the state and progressPct metadata within the JSON monitoring output to identify blocked team members and recommend specific focus areas.

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