Generate multi-expert product critiques with structured recommendations and execution plans.
npx skills add https://github.com/KBRglobal/advisiorai --skill product-room
Please help me install this Agent Skill. Skill: product-room Source: https://github.com/KBRglobal/advisiorai/tree/main/skills/product-room Command: npx skills add https://github.com/KBRglobal/advisiorai --skill product-room
Product teams and founders struggle to get high-quality, structured product feedback that combines opposing expert perspectives, concrete next steps, and a clear verdict; this Skill recreates a six-person product advisory board to evaluate decisions, prioritize work, and produce an actionable plan. It replaces vague opinions and stakeholder-driven roadmaps with evidence-oriented critique, a debate that surfaces real tradeoffs, and a ranked playbook you can execute next week.
Open the product room and review my PRD, then produce Round 1 expert lenses, a 3–5 exchange debate, a prioritized playbook with time estimates, 3 hard questions, a confidence score table, a risk map, a 7-day action plan, and a final verdict.
High-intent search queries and answers about installing and using this skill.
To get structured product advisory feedback on a PRD, you can use a multi-expert critique process that simulates a board of product thinkers. This approach evaluates your product requirements document and generates a prioritized playbook, a risk map, and a final verdict.
Validating roadmap prioritization for an early-stage product is best achieved through multi-expert evaluation and structured debate. This method surfaces real tradeoffs, provides confidence scoring per expert, and outputs a 7-day execution plan to refine your priorities.
Yes, you can use a multi-expert critique process to define an MVP scope by applying it to your feature discovery tasks. The process outputs a ranked product playbook with time estimates and hard questions to ensure your MVP definition is evidence-oriented.
Product advisory review works effectively for auditing product-market fit evidence across early to growth-stage products. It applies opposing expert perspectives to your discovery data to produce a confidence score table and identify gaps in your validation.
To review feature discovery plans using a product advisory board simulation, submit your plans for multi-expert evaluation. The simulation generates expert lenses, a focused debate exchange, and a 7-day Monday Morning action plan to execute your discovery.
You should not use a multi-expert product critique approach when your product decision requires immediate execution without structured feedback loops. If you need to bypass detailed risk mapping, confidence scoring, and playbook generation, this evidence-oriented evaluation is not suitable.
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