roadmap-capture

To capture out-of-scope ideas into a project roadmap, the skill identifies deferred features during conversations and appends them to a YAML file with structured metadata. It automatically logs future work items to maintain project alignment.

Yes, the roadmap tracker checks for duplicate backlog entries by comparing new suggestions against an existing YAML file. It ensures duplicate prevention before appending new roadmap items with auto-generated IDs.

The best way to track deferred features is using an automated capture mechanism that logs out-of-scope ideas directly into `.ai/roadmap.yml`. This prevents valuable future work items from being lost during conversations.

You can log future work items with structured metadata by appending new entries to the roadmap file. The skill automatically generates IDs, titles, descriptions, categories, priorities, and tags for each captured idea.

Yes, you can maintain project alignment across conversations by automatically capturing out-of-scope ideas into a centralized YAML roadmap file. This prevents the loss of valuable suggestions and keeps future work tracking structured.

You need a YAML roadmap file for backlog tracking when you want to prevent the loss of valuable ideas and feature requests. It provides structured storage with auto-generated IDs, categories, and tags for future project planning.