aif-analyze

To bootstrap an AI Factory project, resolve localization preferences, select a project stack, and generate initial core artifacts like config.yaml and rules/base.md for a consistent baseline. This skill creates the scaffolding to align project tooling and guide subsequent core skills.

In AI Factory project setup, config.yaml and rules/base.md serve as core scaffolding artifacts that establish standardized configuration and baseline rules. They align project tooling and ensure teams start from a consistent baseline across new repositories.

You can use this bootstrap skill for both new AI Factory projects and ongoing work requiring standardized config.yaml and rules/base.md. It applies to any project needing to establish or update core artifacts to conform to the project's workflow.

Project localization resolution works by capturing your localization preferences and stack decisions during the bootstrap process to align project tooling. These resolved settings are then written into the initial AI Factory artifacts to guide subsequent core skills.

The best way to prepare handoffs to aif-architecture and aif-roadmap is to bootstrap project context first, creating core artifacts and validating the presence of essential targets like DESCRIPTION.md, ARCHITECTURE.md, and ROADMAP.md to ensure a standardized baseline.

AI Factory bootstrap requires selecting a project stack to align project tooling and inform the generated core scaffolding. This stack decision ensures the config.yaml and rules-base.md artifacts conform to the project's specific workflow requirements.