Automate structured SHIP interviews to score features and generate a final scorecard.
npx skills add https://github.com/mjwhansen/shipscore --skill ship-score
Please help me install this Agent Skill. Skill: ship-score Source: https://github.com/mjwhansen/shipscore/tree/main Command: npx skills add https://github.com/mjwhansen/shipscore --skill ship-score
SHIP-score provides a structured approach to evaluate features using the SHIP framework to reduce decision risk and bias.
Invoke the SHIP interview workflow by asking for a feature to be scored using the SHIP framework and a final scorecard with reasoning.
High-intent search queries and answers about installing and using this skill.
To score product features for prioritization using the SHIP framework, you invoke a structured interview workflow that evaluates features against Strategic Heft, Income, and Perspiration dimensions. It generates a final scorecard with reasoning to guide your backlog bets.
Yes, you can evaluate bugs and ideas in your backlog using a SHIP scorecard. The structured SHIP interview workflow works across product features, bugs, or ideas in any planning session to derive a final score with reasoning.
The SHIP framework for product management prioritization is a structured evaluation model that scores features across Strategic Heft, Income, and Perspiration dimensions. It reduces decision risk and bias by applying confidence tracking and cross-dimension scoring.
To track confidence when scoring features across SHIP dimensions, the framework applies confidence tracking across Income, Strategy, and Perspiration during the structured interview. This ensures your final scorecard reflects the certainty of your prioritization bets.
No, the SHIP interview workflow does not require specific storage or database integrations. It uses a portable, storage-agnostic interaction model to score features, meaning you can apply it to any backlog without prerequisite environment setup.
The best way to reduce bias when prioritizing your product backlog is using a structured SHIP interview to score features against defined framework criteria. This approach applies decision criteria and interpretation guidelines to minimize subjective decision risk.
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