Product Manager Studio

    1

    Convert feature requests into structured PRDs with pain points, metrics, and MoSCoW prioritization.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    We want to add a 'share to Slack' button to our SaaS dashboard. The sales team says customers keep asking for it. Help me plan this feature.

    Your agent does

    # Add 'Share to Slack' - Product Planning ## Problem Statement Users cannot share dashboard insights directly to their primary communication tool, creating friction in collaborative decision-making. ## User Pain Points - 'I have to download a PDF then upload it to Slack manually.' - 'Link sharing fails because team members lack dashboard logins.' ## MoSCoW Prioritization - Must-have: Slack OAuth, Channel picker, PNG snapshot. - Should-have: Custom caption support. - Won't-have: Slack-to-Dashboard two-way sync.

    What you get

    Define clear success metrics for new features to avoid goal drifting.Identify and document specific user pain points with realistic scenarios.Perform rapid competitive benchmarking to find functional gaps.Apply MoSCoW prioritization to minimize initial development scope.

    About this skill

    The problem

    Engineering and design teams often jump straight into implementation without defining the actual user pain or business value. This leads to scope creep, wasted development cycles on low-impact features, and products that fail to move core metrics.

    What it does

    • Synthesizes vague feature requests into structured Problem Statements and User Pain Points.
    • Defines clear Goals and Success Metrics to ensure every feature is measurable.
    • Performs quick-turn Competitive Analysis to identify market gaps and opportunities.
    • Applies MoSCoW prioritization to aggressively cut non-essential scope before coding starts.
    • Generates comprehensive PRD outlines and concrete next steps for development teams.

    Why this beats prompting it yourself

    General-purpose LLMs often produce vague, repetitive "corporate speak." This skill enforces an opinionated, industry-standard framework that demands concrete user quotes, specific metrics, and hard prioritization choices that save actual development time.

    Use cases

    • Transforming a stakeholder's "idea" into a structured feature proposal.
    • Evaluating the UX and competitive positioning of a new product vertical.
    • Prioritizing a bloated backlog using structured frameworks like MoSCoW.
    • Drafting the foundational outline for a formal Product Requirements Document.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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