devforgeai-qa

Orchestrate phase-based QA workflows with coverage analysis and anti-pattern detection.

Updated Aug 23, 2026

Search Tags:#automation #validation #qa #deferrals #phased-workflow

Ready to run

npx skills add https://github.com/bankielewicz/Treelint --skill devforgeai-qa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: devforgeai-qa
Source: https://github.com/bankielewicz/Treelint/tree/main/.claude/skills/devforgeai-qa
Command: npx skills add https://github.com/bankielewicz/Treelint --skill devforgeai-qa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The skill provides a structured, phase-based QA workflow that helps teams catch defects early by coordinating multiple validation disciplines.

Core Features & Use Cases

Phase-based validation: orchestrates coverage analysis, anti-pattern detection, spec compliance, and code-quality checks across deep and light validation modes.
Adaptive validation: supports resumable QA sessions with phase markers and on-demand references.
Use Case: validate a new feature across languages to ensure acceptance criteria are met before release.

Quick Start

To start the phased QA workflow, run /qa STORY-ID --mode=deep or /qa STORY-ID --mode=light.

Frequently Asked Questions about devforgeai-qa

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

FAQPage Schema

How do I automate QA validation for my software changes before release?▼

Automated QA validation orchestrates coverage analysis, anti-pattern detection, and spec compliance checks to catch code defects early. You can initiate it by running a command with your story ID and selecting a deep or light validation mode.

What is a phased QA workflow and how does it improve code quality?▼

A phased QA workflow improves code quality by breaking validation into structured stages like coverage analysis and anti-pattern detection. It orchestrates multiple validation disciplines sequentially to ensure software changes meet acceptance criteria before release.

Can I resume an interrupted automated QA session if the validation process stops?▼

Yes, you can resume an interrupted automated QA session because the workflow writes granular phase markers during execution. These markers track the validation progress, allowing the quality assurance process to pick up where it left off.

Does this automated QA validation support both deep and light validation modes?▼

Yes, the automated QA validation supports both deep and light validation modes. Deep mode performs comprehensive coverage analysis and spec compliance checks, while light mode offers a faster, less intensive code-quality review for your software changes.

How do I validate a new feature across multiple languages to ensure spec compliance?▼

To validate a new feature across languages, you run a deep QA workflow that orchestrates coverage analysis and spec compliance checks. This structured validation ensures all acceptance criteria are met before the release.

When should I use deep validation mode over light mode for defect detection?▼

Use deep validation mode for comprehensive defect detection through extensive coverage analysis and anti-pattern detection. Choose light mode when you need a faster, less intensive code-quality check for smaller software changes.