game taste recommendation agent

    1

    Recommends games by building a weighted 7-axis behavioral profile and filtering by player-specific deal-breakers.

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    game taste recommendation agent

    Example session with this skill installed

    I love Hades and Slay the Spire because of the quick loops and sense of mastery, but I hate jump scares and anything with a Battle Pass. I play on Steam Deck in 30-minute bursts. What's next?

    • Read your context and instructions
    • Compiled the game taste recommendation

    I have analyzed your preferences for high-mastery loops and short session lengths against your deal-breakers of jump scares and predatory monetization. I researched 12 candidates and filtered them based on Steam Deck compatibility and your specific taste axes.

    Game Recommendation Profile & Results

    TitleFit ScorePrimary MatchThe "Watch Out"
    Balatro94/100Perfect 30-min loop; deep mechanical mastery.Highly addictive "one more round" syndrome.
    Monster Train89/100Similar progression to StS; no predatory MTX.Higher visual clutter than Slay the Spire.
    Dead Cells85/100Excellent Deck performance; rewarding mastery.High difficulty spikes in later Boss Cells.
    Streets of Rogue78/100Emergent gameplay; fits short bursts perfectly.Visual style is polarized; check screenshots.

    Taste Axis Breakdown

    • Mechanics (0.9): High priority on "roguelike" loops and tactical decision-making.
    • Pacing (1.0): Weighted for <30 minute sessions; rapid restart capability.
    • Progression (0.8): Focus on player knowledge and permanent unlocks.
    • Deal-breakers: Verified no Battle Passes or horror elements in top picks.

    Anti-Recommendation

    Diablo IV: While it has the loop you like, the constant "Always Online" requirement and Battle Pass structure violate your primary deal-breakers.

    Next steps

    1. Check the Balatro demo on Steam to verify the poker-themed mechanical hook fits your style.
    2. Review Monster Train if you prefer the vertical unit management over Hades' isometric action.
    3. Confirm your Steam Deck storage space as Dead Cells receives frequent large content updates.

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

    About this skill

    The problem

    General game recommendations rely on popularity or broad genres, often ignoring the specific mechanics or feelings a player actually enjoys. This leads to backlogs filled with "highly rated" titles that fail to capture the player's interest.

    What it does

    • Builds a weighted 7-axis taste profile based on play history, favorite mechanics, and failure responses.
    • Researches real-time title data using web tools to confirm mechanics, monetization models, and server health.
    • Filters candidates against hard deal-breakers like mandatory online play, gore, or predatory monetization.
    • Calculates a fit score for each game, comparing its core loop against the player's specific behavioral profile.
    • Identifies 'anti-recommendations' to explain why popular titles might be a poor fit for this specific user.

    Why this beats prompting it yourself

    Basic LLM prompts suffer from recency bias and often suggest the same top 10 Metacritic hits. This skill uses a structured scoring algorithm and live web research to find niche titles that match a behavioral profile rather than just a genre tag.

    Use cases

    • Finding the next title for a player who just finished a long-time favorite and wants something "similar but different."
    • Suggesting games for specific constraints like short 20-minute commutes or strict solo play.
    • Helping a user decide which game in their existing unplayed library currently matches their mood.
    • Gifting research when the recipient's library is private but their preferences are known.

    Known limitations

    Requires web search access to verify current availability and population counts. Does not track real-time price drops or specific store discounts.

    Requires web_search and web_extract tools for live title research. Cannot verify hardware compatibility for specific PC builds. Does not track real-time store pricing or sales.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    It evaluates games across 7 axes: Mechanics, Progression, Challenge, Narrative, Social, Pacing, and Aesthetics to ensure a behavioral match.

    Yes. It uses web search and extraction to verify current game states, monetization models, and platform availability in real-time.

    The agent specifically filters out 'deal-breakers' like predatory monetization, gore, or always-online requirements based on your input.

    It requires the agent to have web_search and web_extract tool capabilities to research titles beyond the model's training data cut-off.

    New in Research & Analysis