Generate and compare 2–4 solution candidates for design decisions.
npx skills add https://github.com/juicesharp/rpiv-mono --skill explore-juicesharp
Please help me install this Agent Skill. Skill: explore Source: https://github.com/juicesharp/rpiv-mono/tree/main/packages/rpiv-pi/skills/explore Command: npx skills add https://github.com/juicesharp/rpiv-mono --skill explore-juicesharp
Analyzes multiple solution options for features or changes and synthesizes actionable recommendations to guide design decisions.
Provide a feature or change to explore and any constraints, and I will generate 2–4 candidate approaches, compare them across dimensions, and return a recommended path.
High-intent search queries and answers about installing and using this skill.
To compare design options, generate 2–4 named candidates from ecosystem research, internal patterns, and user briefs, then evaluate them across defined dimensions to surface trade-offs and select a recommended path.
Analyzing multiple solution candidates involves comparing approaches against structured dimensions to identify trade-offs, producing a documented rationale and actionable plan stored for governance and reuse.
Yes, providing a feature description and constraints allows the system to generate 2–4 named candidate approaches by combining user briefs with ecosystem research and internal patterns.
To ensure design decision rationale is traceable, the synthesized recommendations, code references, and final rationale are stored in a shared solutions directory for ongoing governance and reuse.
Comparing solution options across defined dimensions directly surfaces trade-offs between candidates, informing design decisions by contrasting approaches against structured evaluation criteria.
When you need actionable recommendations for a design decision, synthesize multiple solution options by evaluating candidates across dimensions to produce a ready-to-use plan with traceable evidence.
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