review-backlog

Audit a rauf backlog for coverage, scoping, dependency validity, and acceptance criteria.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/garygentry/rauf --skill review-backlog-garygentry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-backlog
Source: https://github.com/garygentry/rauf/tree/main/skills/review-backlog
Command: npx skills add https://github.com/garygentry/rauf --skill review-backlog-garygentry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a second-opinion audit for a rauf backlog, ensuring coverage, scoping, dependency sanity, acceptance-criteria quality, and enum correctness.

Core Features & Use Cases

  • Comprehensive Backlog Review: Checks against reference documents, validates, and suggests improvements.
  • Scalable to Multi-Backlog Setups: Handles both repo-wide and feature-specific backlogs.
  • Use Case: Use this Skill to get a detailed report on the quality of your backlog before committing changes, saving time and potential rework.

Quick Start

Run the 'review-backlog' skill on your backlog: rauf run review-backlog.

Frequently Asked Questions about review-backlog

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

FAQPage Schema
How do I validate acceptance criteria and dependency validity in a structured JSON backlog?

Validating acceptance criteria and dependency validity in a structured JSON backlog involves auditing items against schema and reference document constraints to ensure coverage, scoping, and structural correctness. This Skill automates that exact quality assurance review process.

What does automated backlog review check for in a software quality assurance workflow?

Automated backlog review checks for coverage gaps, scoping issues, dependency validity, acceptance criteria quality, and enum correctness. It operates under specified schema constraints to provide a comprehensive quality assurance audit before committing changes.

Can I audit feature-specific backlogs or does this only work for repo-wide setups?

You can audit both repo-wide and feature-specific backlogs. The automated review process scales to multi-backlog setups, validating structured JSON backlogs against reference documents to ensure quality across different project scopes.

How do I run a backlog quality audit before committing changes?

To run a backlog quality audit before committing, execute the command 'rauf run review-backlog' on your backlog. This generates a detailed report on coverage, scoping, dependency sanity, and acceptance-criteria quality to prevent potential rework.

What is the best way to check enum correctness and structural correctness in a backlog?

Checking enum correctness and structural correctness requires auditing the backlog against specified schema and reference document constraints. This Skill performs that validation automatically, identifying errors and suggesting improvements for overall software quality.

Why does my backlog validation fail against reference document constraints?

Backlog validation fails when items lack proper coverage, scoping, or valid dependencies, or when acceptance criteria and enum values do not match the specified schema. Running an automated audit identifies these exact structural and quality issues.