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deliverable-monitoring

Interpret deliverable monitoring metrics and recommend interventions for meta-squad teams.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Interpret deliverable monitoring data and present actionable insights to the meta-squad, helping them understand deliverable-team health and progress.

Core Features & Use Cases

  • Interpret metrics such as fragmentCount, totalFragments, schemaVersion, deliverableSize, validationStatus, and state to assess health.
  • Provide guidance on when to escalate based on stalled progress, invalid validation, or failed merges.
  • Use Case: Teams evaluating sprint deliverables, dashboards explanation, and intervention recommendations.

Quick Start

Provide an interpretation of the latest deliverable-monitoring data and suggest concrete next actions.

Frequently Asked Questions about deliverable-monitoring

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

FAQPage Schema
How do I interpret deliverable monitoring metrics to assess project health?▼

Deliverable monitoring interprets metrics like fragmentCount, validationStatus, and aggregationProgress by parsing structured data and evaluating a state machine to assess health and recommend interventions.

What do stalled progress and invalid validation statuses mean for sprint deliverables?▼

Invalid validation and stalled aggregationProgress indicate failed merges or scanning issues, requiring immediate intervention guidance to recover the deliverable state and restore progress.

How can I explain a deliverable health dashboard to my team?▼

Dashboard explanation involves interpreting structured monitoring data, translating state machine phases like preparing, scanning, and distilling into actionable insights for meta-squad teams.

When should I escalate issues based on deliverable monitoring data?▼

Escalate when validationStatus is invalid, merges fail, or progress stalls beyond defined thresholds, triggering recovery prompts and concrete next actions to resolve deliverable issues.

Can I use deliverable monitoring for large files with high fragment counts?▼

Yes, deliverable monitoring handles high fragmentCount and totalFragments by tracking deliverableSize, schemaVersion, and lastFragmentAt to evaluate aggregationProgress and overall state.

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