Player Experience Modeling
SkillAI & modelsModel 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.
Use Player Experience Modeling in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Player Experience Modeling and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Player Experience Modeling skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/player-experience-modeling/SKILL.md and read by Ahel’s review.
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
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
player-experience-modeling- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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