score-backlog

Score and rank backlog items using RICE, ICE, or custom weights.

6|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/GeneralJerel/chalk-skills --skill score-backlog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: score-backlog
Source: https://github.com/GeneralJerel/chalk-skills/tree/main/skills/score-backlog
Command: npx skills add https://github.com/GeneralJerel/chalk-skills --skill score-backlog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps product teams convert vague backlog items into a disciplined, scored ranking to guide prioritization decisions.

Core Features & Use Cases

  • Structured scoring: supports RICE by default and ICE or custom weights for prioritizing features.
  • Transparent rationale: provides per-dimension rationale for each score to aid alignment and review.
  • Backlog ingestion: reads backlog items from files, exports, or inline input and computes scores with optional research flags.

Quick Start

Provide backlog sources (inline items or a file path) to generate a prioritized backlog with transparent rationales.

Frequently Asked Questions about score-backlog

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

FAQPage Schema
How do I score and rank my product backlog items?

Backlog prioritization is achieved by ingesting your items from files or inline input and scoring them with frameworks like RICE or ICE to generate a ranked list with transparent per-dimension rationales.

What is the best way to calculate RICE scores for a feature backlog?

Calculating RICE scores is handled by default through this skill, which evaluates backlog items and outputs documented scores with explicit dimension definitions and per-dimension rationales to enable team alignment and review.

Can I use custom weights to prioritize backlog items instead of RICE?

Yes, you can use custom weights to prioritize backlog items. The skill supports configurable scoring with explicit dimension definitions, allowing you to use ICE or custom weights instead of the default RICE framework.

Does the backlog scoring process provide explanations for each score?

The backlog scoring process provides transparent rationale for each score by documenting per-dimension rationales for every evaluated item, enabling audit and facilitating team discussion.

How do I ingest exported issues to compute prioritization scores?

To ingest exported issues for computing prioritization scores, provide the file path to the skill. It reads backlog items from files or exports and applies the chosen scoring framework to generate ranked results with optional research flags.