Score profiles using the ME-2 formula across P, C, D, and E dimensions.
npx skills add https://github.com/gapfDev/workflow --skill me-2
Please help me install this Agent Skill. Skill: me-2 Source: https://github.com/gapfDev/workflow/tree/main/c1.5/.claude/skills/me-2 Command: npx skills add https://github.com/gapfDev/workflow --skill me-2
ME-2 scoring provides a structured, quantitative method to compare tradeoffs among profiles using the four dimensions P, C, D, and E.
Score profiles by applying the ME-2 formula to their P, C, D, E values and compare the resulting averages across options.
High-intent search queries and answers about installing and using this skill.
ME-2 scoring is a quantitative method to compare tradeoffs among profiles using the four dimensions P (Completeness), C (Clarity), D (Differentiation), and E (Economy). It averages these values to inform design, prioritization, and risk-aware strategy decisions.
To calculate scores using the ME-2 formula, apply (P + C + D + E) / 4 to each profile. You need clear definitions for the P, C, D, and E dimensions and a consistent rubric to handle missing data and edge cases during evaluation.
Use dimension-based scoring for decision analysis when you need to quickly evaluate multiple profiles to inform prioritization and risk-aware tradeoffs. It is suited for scenarios where structured, quantitative comparisons across options are required.
For ME-2 profile evaluation, you must provide clear definitions for the P, C, D, and E dimensions. You also need a consistent rubric to handle missing data and edge cases across the options being scored.
Yes, ME-2 scoring works without external dependencies to prioritize design options. It applies a self-contained formula to score profiles, requiring only clear dimension definitions and a consistent rubric to handle missing data and edge cases.
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