reviewing-epics

Name: reviewing-epics
Availability: InStock
Author: davidabeyer

Verify acceptance criteria and assess code quality in two phases.

13|1|Updated Feb 14, 2026

Search Tags:#code quality #quality assurance #code review #acceptance criteria #automated testing #epic review

Ready to run

npx skills add https://github.com/davidabeyer/formaltask --skill reviewing-epics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reviewing-epics
Source: https://github.com/davidabeyer/formaltask/tree/main/skills/reviewing-epics
Command: npx skills add https://github.com/davidabeyer/formaltask --skill reviewing-epics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of reviewing completed epics, ensuring both functional correctness (acceptance criteria) and code quality before merging. It prevents wasted effort by prioritizing AC verification.

Core Features & Use Cases

Two-Phase Review: First verifies acceptance criteria, then performs a quality review.
Automated Agent Selection: Dynamically chooses core and specialist reviewers based on epic requirements.
Structured Reporting: Generates a detailed report summarizing findings and verdicts.
Use Case: After a developer marks an epic as complete, run /epic-review <epic-name> to get a comprehensive audit, ensuring it meets all requirements and quality standards.

Quick Start

Run the reviewing-epics skill to audit the epic named 'user-authentication'.

Frequently Asked Questions about reviewing-epics

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

FAQPage Schema

How do I review completed software epics against acceptance criteria?▼

An automated epic review assesses code quality by dynamically selecting specialist review agents based on task metadata. It synthesizes their multi-agent findings into a structured report, ensuring the epic meets quality standards before merging.

What is the best way to automate code quality assurance for completed epics?▼

Automating code quality assurance for epics is best handled through a multi-agent review system that dynamically selects reviewers based on task metadata. This approach generates a comprehensive audit report detailing findings and verdicts after acceptance criteria are verified.

Does epic review verify acceptance criteria before checking code quality?▼

Yes, a phased epic review prioritizes acceptance criteria verification before executing a multi-agent quality assessment. This prevents wasted effort by ensuring functional correctness before evaluating deeper code quality standards.

How does automated agent selection work for epic code reviews?▼

Automated agent selection for code reviews works by dynamically choosing core and specialist reviewers based on the specific epic requirements and task metadata. This ensures the multi-agent quality assessment is tailored to the unique needs of the software development epic.

Can I use a multi-agent review to audit software development epics before merging?▼

Yes, you can use a multi-agent review to audit software development epics before merging. This approach ensures both functional correctness and code quality are met by synthesizing findings from dynamically selected agents into a clear verdict.

When should I run an automated epic review?▼

You should run an automated epic review immediately after a developer marks an epic as complete. This ensures a comprehensive audit verifies all acceptance criteria and quality standards are met before the code is merged.