Wolf Archetypes FAQs

Question 1

How does the skill decide which archetype to use?

Accepted Answer

The skill automatically selects an archetype by analyzing GitHub issue labels (e.g., 'bug' triggers reliability-fixer) or by detecting specific file paths being modified (e.g., 'auth' directories trigger security-hardener).

Question 2

Can I use multiple archetypes at once?

Accepted Answer

You use one primary archetype but can stack multiple 'Overlay Lenses'—such as Performance, Security, or Accessibility—to add specialized requirements to the base behavior.

Question 3

What is the benefit of using archetypes over standard AI prompts?

Accepted Answer

Archetypes provide a structured framework that prevents 'scope bleed' and ensures that the AI follows professional engineering standards, such as requiring root cause analysis for bugs and threat models for security fixes.

Question 4

What are Wolf Archetypes?

Accepted Answer

Wolf Archetypes are specialized behavioral profiles that define how an AI agent like Claude should prioritize work, what evidence it needs to provide, and which quality gates must be met for specific types of tasks.

Question 5

Does this skill work with existing GitHub workflows?

Accepted Answer

Yes, it is designed to integrate directly with GitHub labels and repository structures to automate the agent's work-cycle classification without manual intervention.

Wolf Archetypes

Key Features

Use Cases

Wolf Archetypes

Key Features

Use Cases