feature-review

Score and classify implemented features using RICE, WSJF, and Kano heuristics.

326|35|Updated Nov 23, 2025
One-click install
npx skills add https://github.com/athola/claude-night-market --skill feature-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feature-review
Source: https://github.com/athola/claude-night-market/tree/main/plugins/imbue/skills/feature-review
Command: npx skills add https://github.com/athola/claude-night-market --skill feature-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires imbue:scope-guard, imbue:review-core, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Systematically analyzes implemented features and suggests new features using configurable prioritization heuristics, including GitHub integration for issue creation.

Core Features & Use Cases

  • Evidence-based scoring (RICE/WSJF blend with Kano)
  • Configurable heuristics for prioritization
  • Actionable output including GitHub issue creation

Quick Start

Inventory current features and run prioritization scoring to surface top backlog candidates.

Frequently Asked Questions about feature-review

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

FAQPage Schema
How do I prioritize features using evidence-based scoring methods?

Evidence-based scoring applies frameworks like RICE, WSJF, and Kano analysis to rank features by impact, effort, and user value. This approach systematically compares features against defined criteria rather than subjective judgment, surfacing high-value backlog candidates for roadmap decisions.

What's the difference between RICE and WSJF for feature prioritization?

RICE (Reach, Impact, Confidence, Effort) emphasizes user scale and effort ratio; WSJF (Weighted Shortest Job First) prioritizes business value and job size for faster delivery. The Skill supports both frameworks and Kano classification, letting you choose or blend approaches based on your roadmap strategy.

Can I use this for backlog grooming and roadmap reviews?

Yes. The Skill applies configurable prioritization heuristics during periodic roadmap reviews, backlog grooming, and feature inventory workflows—scoring, classifying, analyzing gaps, and generating suggestions to drive roadmap decisions with actionable output.

How does this integrate with GitHub for feature tracking?

The Skill outputs results formatted for GitHub integration, enabling automated issue creation directly from prioritization scores. This closes the loop between analysis and backlog management without manual transcription.

What input data do I need to start feature prioritization?

Inventory your implemented features with metadata suitable for scoring: reach estimates, impact levels, effort costs, and confidence ratings. The Skill accepts this input and applies RICE, WSJF, or Kano scoring to generate ranked recommendations and gap analysis.