sr-auto-propose-backlog-specs

To generate backlog ideas from product discovery, this Skill proposes 2-4 features per project area using the Value Proposition Canvas. It evaluates them against your personas and outputs structured backlog entries with user stories, effort estimates, and prerequisites.

You can automatically create product backlog items in GitHub Issues by running this Skill. It syncs generated ideas directly to your repository via the GitHub API, applying the 'product-driven-backlog' label to each new issue.

In feature backlog planning, the Value Proposition Canvas is used to map proposed features against customer personas. This Skill applies the canvas to evaluate how each idea fits user needs, ensuring your backlog is product-driven.

Yes, you can avoid creating duplicate GitHub Issues when proposing new backlog features. This Skill reads your local backlog config and existing repository items to prevent duplicates before syncing newly generated ideas.

Generating backlog-ready issues requires persona data to tailor feature ideas. This Skill reads your project personas to apply the Value Proposition Canvas and provide area-specific recommendations that align with user needs.

The best way to prepare a product-driven backlog for sprint planning is to generate a structured backlog summary. This Skill produces entries with VPC mappings, effort estimates, and inspirations, making them ready for prioritization.