Prioritize product opportunities from PMContext using a single scoring framework.
npx skills add https://github.com/Wcof/PMSkill --skill pm-prioritize-wcof
Please help me install this Agent Skill. Skill: pm-prioritize Source: https://github.com/Wcof/PMSkill/tree/main/skills/delivery/pm-prioritize Command: npx skills add https://github.com/Wcof/PMSkill --skill pm-prioritize-wcof
This Skill helps product teams turn an existing PMContext into a defensible priority order for opportunities, requirements, or backlog items. It prevents shallow feature ranking by pushing the team to prioritize underlying user problems first, trace every score back to evidence, and make tradeoffs visible.
Ask the AI to use pm-prioritize on your PMContext to rank your top opportunities and generate a traceable scoring table with a quadrant view.
High-intent search queries and answers about installing and using this skill.
To prioritize a product backlog using RICE, this Skill scores items by Reach, Impact, Confidence, and Effort. It then generates a traceable scoring table with a P0/P1/P2 ranking and quadrant visualization to guide release scoping.
Ranking product opportunities instead of features requires an opportunity-first approach that scores underlying user problems. This Skill evaluates customer pain points using frameworks like Opportunity Score, preventing shallow feature ranking by tracing scores back to evidence.
You cannot mix frameworks; this Skill applies a single best-fit prioritization method. It selects one appropriate framework, such as Kano or WSJF, based on your specific scenario to ensure consistent scoring and clear tradeoff visualization.
Tracing prioritization scores back to evidence requires linking each score to PMContext. This Skill builds a scoring table with explicit evidence links, marking unsupported judgments as assumptions to ensure roadmap planning relies on validated data.
Backlog prioritization here requires PMContext-based evidence to function correctly. Without it, the Skill cannot trace scores to validated data and will explicitly mark any unsupported scoring judgments as assumptions rather than facts.
Visualizing product strategy tradeoffs during discovery is done using a four-quadrant view. This Skill outputs a quadrant chart alongside P0/P1/P2 classification to make opportunity assessment and prioritization tradeoffs immediately visible for planning.
WcofGenerate an opportunity solution tree from PMContext with scored opportunities and experiments.
AcidicSoilAssess non-functional requirements across six categories and generate prioritized gap reports.
qa-amanScore and sequence backlog items using RICE and MoSCoW frameworks.
viktorbezdekRank backlog items using RICE, MoSCoW, ICE, and effort-impact analyses.
