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priority-weight

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Rank clusters by multi-dimension priority scores.

Design & Creative#scoring#priority#decision-making#reconciled_verdict#cluster-context#auditable-design
Authorspeplinski
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This scoring skill provides a deterministic, per-dimension priority vector for reconciled clusters, enabling product teams to rank work by impact and effort and to align L6 decisions with business goals.

Core Features & Use Cases

  • Score five dimensions (severity, reach, persistence, business_impact, cognitive_cost) for a reconciled cluster using input from L5.
  • Output raw per-dimension scores (0–10) and allow meta-weights to be applied externally to compute a final priority.
  • Works across design audits to help triage clusters for L7 decisions.
  • Use Case: When an L5 cluster has multiple tensions, the L6 skill yields a comparable vector to compare clusters.

Quick Start

Score a reconciled cluster by providing its ReconciledVerdict and cluster context to the L6 priority-weight skill.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: priority-weight
Download link: https://github.com/speplinski/hackathon-opus-47/archive/main.zip#priority-weight

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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