Issue Classification for ADW FAQs

Question 1

What is a 'problem class' in this context?

Accepted Answer

A problem class is a category (like /bug or /feature) that defines the nature of a task and determines which AI workflow template should be used to resolve it.

Question 2

Why is classification important for AI agents?

Accepted Answer

Classification ensures the agent uses the correct workflow; for example, a bug requires root cause analysis while a chore may only require dependency updates.

Question 3

Which AI model is recommended for classification?

Accepted Answer

Claude 3 Haiku is recommended due to its high speed and low cost, making it ideal for the simple decision-making required for classification tasks.

Question 4

Can I add custom categories to this skill?

Accepted Answer

Yes, the skill is designed to be extensible, allowing you to add specialized classes such as /security, /refactor, or /performance to fit your specific development cycle.

Question 5

How does this skill handle issues that fit multiple categories?

Accepted Answer

The skill follows a primary-purpose approach, choosing the most dominant category or defaulting to /chore if the purpose is unclear to ensure safety and low risk.

Issue Classification for ADW

Key Features

Use Cases

Issue Classification for ADW

Key Features

Use Cases