Score modules on readiness and fit-to-purpose tracks with go/no-go logic.
npx skills add https://github.com/Yazo1968/market --skill scoring-rubric
Please help me install this Agent Skill. Skill: scoring-rubric Source: https://github.com/Yazo1968/market/tree/main/plugins/startup-assessment/skills/scoring-rubric Command: npx skills add https://github.com/Yazo1968/market --skill scoring-rubric
This skill standardizes the evaluation of modules by providing a consistent scoring rubric and go/no-go determination logic, ensuring objective assessments.
Use the scoring-rubric skill to score module 'X' on the readiness track with completeness score 3 and quality score 2.
High-intent search queries and answers about installing and using this skill.
Standardize module evaluation by applying a consistent scoring rubric across readiness and fit-to-purpose tracks. Define specific scoring dimensions, assign weights, and use multi-gate decision criteria to classify submissions objectively as GO, CONDITIONAL GO, CONDITIONAL HOLD, or NO-GO.
Multi-gate go/no-go determination logic evaluates modules against sequential criteria thresholds across readiness and fit-to-purpose tracks. It aggregates weighted dimension scores to classify a module into GO, CONDITIONAL GO, CONDITIONAL HOLD, or NO-GO categories for launch readiness.
Calculate aggregated scores for module readiness by applying defined weighting frameworks to individual dimension scores. Compute domain-level scores first, then aggregate them into an overall module score to evaluate readiness and fit-to-purpose tracks.
Yes, you can use a scoring rubric to assess both completeness and target market alignment. Evaluate modules on readiness tracks for completeness and quality, and fit-to-purpose tracks for stage appropriateness and market alignment, ensuring objective go/no-go classification.
Include readiness dimensions like completeness, quality, and stage appropriateness, alongside fit-to-purpose dimensions like target market alignment. Assign weights to each dimension to calculate aggregated domain and overall scores for objective go/no-go determination.
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