Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Feature Prioritizer (RICE)

    1

    It also generates the questions to ask in the prioritization meeting — the ones that make advocacy visible before it's baked into the roadmap.

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    Feature Prioritizer (RICE)

    Feature Prioritizer (RICE)

    Example session with this skill installed

    Apply RICE to our new product features: In-app chat (500 users, high impact, 2 weeks) and Dark Mode (all users, low impact, 2 days). Identify the weakest assumptions.

    • Read your context and instructions
    • Compiled the feature prioritizer rice
    • In-app Chat: Score 45. Critical assumption: 50% increase in retention (Confidence ceiling 50% - anecdote only).
    • Dark Mode: Score 120. Data-backed Reach (100% of users) provides higher confidence (90%).
      Recommendation: Verify retention impact for Chat before committing.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Debias feature requests by enforcing evidence-based confidence ceilings.Identify sensitivity flips where a minor estimate change shifts priority.Generate critical questions to challenge advocacy in roadmap meetings.Standardize impact definitions across different product teams.

    About this skill

    RICE fails in practice for one reason: the numbers are advocacy. Reach is inflated because the team is excited, effort is underestimated because no one wants to kill their feature, and confidence is whatever makes the score win. This skill applies RICE in a way that surfaces the biases: it asks for the reasoning behind each estimate rather than just the number, flags when estimates are inconsistent with historical data, separates the team's confidence from the model's implied confidence, and produces a prioritized stack with the key assumptions that would flip each ranking. It also generates the questions to ask in the prioritization meeting — the ones that make advocacy visible before it's baked into the roadmap. Bring your feature list and context; get back a scored stack you can defend and the list of assumptions worth stress-testing.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Listed3 months ago
    Updated20 days ago

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