opportunity-brief

To prioritize plugin candidates with an impact and feasibility matrix, you input domain artifacts like personas and hotspots to generate an evidence-based opportunity brief that ranks candidates by impact and feasibility scores from one to 5.

Deciding what feature to build next from scattered discovery artifacts involves converting inputs like domain canvases and behavior matrices into a structured opportunity assessment brief that provides ranking, rationale, and dependencies for each candidate.

Creating an evidence-based opportunity brief for stakeholder briefing requires processing domain context to produce a decision-ready output that includes a ranking matrix, effort indicators, and a clear recommendation for plugin candidates.

Yes, you can use expert review to correct opportunity scoring and priorities by dynamically loading relevant domain and product experts who review and incorporate corrections into the candidate scoring and impact feasibility matrix.

Opportunity scoring works directly with domain canvas and behavior matrix inputs by converting these discovery artifacts into focused plugin opportunity candidates that are evaluated and ranked within the final assessment brief.

You do not need any external dependencies to run opportunity scoring for plugin prioritization, as the skill operates independently to process your domain context and generate a ranked opportunity brief with no required modules.