Player Experience Modeling
Use this skill to define the experience the game is trying to create before implementing systems. It gives an AI game-building agent a target for taste, pacing, onboarding, and progression decisions.
Source Traceability
Primary source: The Art of Game Design: A Book of Lenses, Third Edition by Jesse Schell, especially chapters 2, 9-11, and 16 on experience, players, pleasure, flow, motivation, novelty, judgment, and interest curves. The workflow is transformed and paraphrased.
Supporting source: Self-Determination Theory for autonomy, competence, and relatedness as durable motivation lenses.
Workflow
- Define the target player by behavior and context, not demographic shorthand.
- Identify the desired emotional and motivational promise.
- Map pleasures, needs, novelty, mastery, and social drivers.
- Shape the interest curve across first minute, first session, midpoint, climax, and return session.
- Translate experience goals into implementation constraints and telemetry.
Required Output
Player Model: target player, context, skills, anxieties, and motivations.Experience Promise: what the game should make the player feel and do.Motivation Map: autonomy, competence, relatedness, novelty, mastery, expression, and reward drivers.Interest Curve: beats, intensity, variety, and recovery.Build Implications: onboarding, feedback, difficulty, pacing, progression, and content priorities.
Local References
Before producing an experience model, read:
references/core/guide.mdworkflows/experience-brief.md
Source: hashgraph-online/awesome-codex-plugins → plugins/LVTD-LLC/skills/skills/player-experience-modeling/SKILL.md
1---2name: player-experience-modeling3description: Model target players, motivations, emotions, pleasures, needs, flow, novelty, judgment, and interest curves. Use when defining who a game is for, shaping retention, diagnosing boredom or confusion, designing progression, or aligning gameplay with a desired emotional arc.4---567# Player Experience Modeling89Use this skill to define the experience the game is trying to create before implementing systems. It gives an AI game-building agent a target for taste, pacing, onboarding, and progression decisions.1011## Source Traceability1213Primary source: *The Art of Game Design: A Book of Lenses, Third Edition* by Jesse Schell, especially chapters 2, 9-11, and 16 on experience, players, pleasure, flow, motivation, novelty, judgment, and interest curves. The workflow is transformed and paraphrased.1415Supporting source: Self-Determination Theory for autonomy, competence, and relatedness as durable motivation lenses.1617## Workflow18191. Define the target player by behavior and context, not demographic shorthand.202. Identify the desired emotional and motivational promise.213. Map pleasures, needs, novelty, mastery, and social drivers.224. Shape the interest curve across first minute, first session, midpoint, climax, and return session.235. Translate experience goals into implementation constraints and telemetry.2425## Required Output2627- `Player Model`: target player, context, skills, anxieties, and motivations.28- `Experience Promise`: what the game should make the player feel and do.29- `Motivation Map`: autonomy, competence, relatedness, novelty, mastery, expression, and reward drivers.30- `Interest Curve`: beats, intensity, variety, and recovery.31- `Build Implications`: onboarding, feedback, difficulty, pacing, progression, and content priorities.3233## Local References3435Before producing an experience model, read:3637- `references/core/guide.md`38- `workflows/experience-brief.md`3940---4142**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/player-experience-modeling/SKILL.md`
hashgraph-online