game design grow design

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    Convert vague game design ideas into structured decisions using the Goal, Reality, Options, and Will framework.

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    game design grow design

    Example session with this skill installed

    Use the GROW model to evaluate a proposed 'Battle Pass' feature for our mobile mid-core RPG. Our retention at Day 30 is low, and we need a sustainable monetization hook.

    • Read your context and instructions
    • Compiled the game design grow
    • Generated the UI component

    I have evaluated the Battle Pass feature using the GROW framework to move from the retention problem to a concrete implementation path.

    Game Design GROW Analysis: Battle Pass

    Goal

    Goal Statement: Increase Day 30 retention by 15% and D30 ARPDAU by 10% by introducing a seasonal Battle Pass that rewards daily engagement, launching in the Q3 update.

    • Success Criteria: +15% D30 Retention, 5% conversion to Premium Track, 80% completion rate for active players.
    • Constraints: Must not require new 3D assets for the first two seasons; must use existing currency types.

    Reality

    Current State: Players lose interest after finishing the main campaign (Day 14-20). We have a deep backlog of unused 2D concept art and surplus 'Essence' currency.

    • Constraints: Engineering bandwidth is locked for the next 6 weeks. UI space in the main lobby is crowded.
    • Unknowns: Impact on existing VIP subscription sales; optimal duration (3 weeks vs 4 weeks).
    • Dependencies: Requires a new reward delivery service and a UI overhaul of the 'Quest' tab.

    Options

    OptionSummaryPlayer ValueBusiness ValueCostRiskNotes
    A: MinimalistReskin existing daily quests into a linear track.2311Low impact, fast to ship.
    B: Content-HeavyAdd unique seasonal skins and a narrative lore track.5554High dev cost, potential delay.
    C: Hybrid (Recycled)Use existing surplus assets and 'Essence' as tiered rewards.4422Best ROI for current resources.

    Will

    Recommended Path: Option C (Hybrid). It leverages existing assets to solve the retention gap without blowing the production budget.
    *

    Near-term Actions: Map out a 30-level reward curve using current inventory; draft a UI wireframe for the Quest tab integration.

    • Risks / Assumptions: Assumes 'Essence' remains a high-value item for late-game players.

    Next steps

    1. Audit the current asset library to identify 30 distinct reward items.
    2. Define the XP curve required to reach Level 30 within a 28-day window.
    3. Schedule a UI review for the lobby integration.

    game-design-grow-design.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Bridge the gap between vague player goals and technical constraints.Evaluate monetization ideas against current economy telemetry.Generate multiple solution paths for complex system design problems.Create a concrete action plan for an MVP feature launch.

    About this skill

    The problem

    Game design discussions often stall in circular loops where teams jump between vague ambitions and implementation details without reaching a decision. Without a structured framework, teams struggle to align on success criteria or evaluate the trade-offs between competing feature ideas.

    What it does

    • Applies the GROW model (Goal, Reality, Options, Will) to structure game design decisions.
    • Defines specific player and business success criteria using SMART-style goal statements.
    • Maps current system dependencies, technical constraints, and design unknowns.
    • Generates multiple solution paths with scored trade-offs for player value, cost, and risk.
    • Produces a concrete recommendation with an MVP scope and immediate next steps.

    Why this beats prompting it yourself

    Generic prompts often result in a single, shallow recommendation that ignores existing game systems. This skill forces an explicit reality check against your current state and mandates a multi-option evaluation, preventing the "first-idea bias" common in rapid prototyping.

    Use cases

    • Evaluating a new monetization initiative against existing economy constraints.
    • Triaging feature requests for a quarterly roadmap update.
    • Resolving a circular team debate over a core UX change or player flow.
    • Designing a high-level MVP for a new live-ops event structure.

    How to install

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

    ~30 seconds
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