qa-improve

Analyze GTM-Helper AI architecture and propose prioritized preventive improvements.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/Wizarck/iguanatrader --skill qa-improve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-improve
Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/qa-improve
Command: npx skills add https://github.com/Wizarck/iguanatrader --skill qa-improve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes the GTM-Helper AI architecture and proposes targeted improvements to prevent recurrence after errors, changes, or architectural gaps.

Core Features & Use Cases

  • Mode-driven analysis: Error Recovery, Change Amplification, Architecture Review to identify preventive improvements
  • Proposes prioritized changes (P1/P2/P3) with rationale and implementation notes
  • Integrates with architecture docs and HITL gates to maintain system consistency

Quick Start

Provide an error context and request Mode 1 analysis to receive preventive improvements.

Frequently Asked Questions about qa-improve

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

FAQPage Schema
How do I prevent error recurrence in an AI architecture?

To prevent error recurrence in an AI architecture, you analyze system incidents to propose targeted preventive improvements. Error Recovery mode assesses incident contexts to identify structural gaps and generate prioritized recommendations that stop the same failures from happening again.

What is the best way to review architecture gaps before a system change?

Architecture Review is a process to assess structural gaps across a system before applying changes. It evaluates the existing AI architecture to identify weaknesses, providing prioritized P1/P2/P3 recommendations with rationale to ensure system consistency and resilience.

How do I assess the impact of changes on my system architecture?

You assess the impact of changes on your system architecture by using Change Amplification analysis. This mode evaluates proposed modifications to identify potential architectural gaps and outputs structured, prioritized recommendations to maintain system consistency.

Can I get automated architecture recommendations without applying code changes?

Yes, you can get automated architecture recommendations without applying code changes. The analysis provides structured, prioritized proposals with supporting rationale and references, but it will only implement the actual changes when explicitly requested by the user.

When do I need preventive QA analysis for software engineering?

You need preventive QA analysis for software engineering when recovering from system errors, amplifying architectural changes, or reviewing structural gaps. It integrates with architecture docs and HITL gates to maintain system consistency across these three operational modes.

How do I prioritize architecture improvements after a system incident?

You prioritize architecture improvements after a system incident by generating structured P1, P2, and P3 recommendations. The analysis provides supporting rationale and references for each proposed change, allowing you to address the most critical preventive improvements first.