game design player persona extractor
Extract behavioral player personas and design requirements directly from game mechanics and system loops.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsgame design player persona extractor
Example session with this skill installed
Analyze this feature: A permadeath roguelike loop where items have randomized, hidden stats that must be identified through repeated use, but identify cost scales with every death.
- Read your context and instructions
- Compiled the game design player
- Generated the UI component
I have analyzed the systemic signals within your proposed identification loop. The design suggests a high-friction, knowledge-gaining meta-progression that rewards persistence over immediate execution.
Player Persona Analysis
| Category | Detail |
|---|---|
| Ideal Persona | The "Persistent Optimizer" who finds satisfaction in cataloging systemic secrets and managing high-stakes risks. |
| Anti-Persona | The "Progress-Driven Casual" who views lost time as a failure and expects clear, linear power scaling. |
| Core Motivation | Discovery and Mastery. The joy comes from the "Eureka" moment of identifying a high-tier item after narrow escapes. |
| Tolerance Profile | Extremely high for repetition and delayed gratification. Low for mechanical hand-holding. |
| Play Style | Cautious and methodical. They will likely sacrifice a "run" just to gather data on a specific item type. |
Design Implications
Requirement: Item identification effects must be distinct enough to be memorable. If two hidden stats feel similar, the player's effort feels wasted.
2.
Requirement: Death must provide a "Data Log" or permanent record. If they lose the item and the knowledge, the loop breaks.
3.
Avoid: Do not add "Luck" stats that bypass the identification cost, as it devalues the core loop of intentional experimentation.
Emotional Expectations
The player wants to feel
calculated tension. The frustration of an unidentified item should feel like a puzzle to solve, not a wall blocking their progress. A "betrayal" occurs if the identification cost scales so high that it prevents them from ever seeing the payoff of their gathered knowledge.
Next steps
- Define the "Identification Cost" curve to ensure it doesn't hit a mathematical ceiling too early.
- Draft 3-5 unique "Identity Cues" (visual or audio) that hint at an item's hidden stat before it is fully identified.
- Determine if a "Shareable Knowledge" system is needed for social/community optimization.
game-design-player-persona-extractor.tsx
TSX · React component
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
About this skill
The problem
Game mechanics often drift into "feature soup" because the team hasn't defined who the systems are actually for. Designing for everyone leads to a diluted experience that delights no one and confuses marketing efforts.
What it does
- Analyzes core game loops and mechanics to extract the behavioral profile of the ideal player.
- Identifies the "Anti-Persona" to pinpoint which player types will churn and why the design might alienate them.
- Maps specific design implications, detailing what systems must protect or avoid to satisfy the target audience.
- Infers motivation and tolerance profiles, such as patience for RNG, difficulty spikes, or social friction.
- Generates optional market-facing audience summaries and demographic hypotheses for publisher pitches.
Why this beats prompting it yourself
General LLMs often generate "marketing fluff" personas like "25-year-old male who likes fun." This skill enforces a behavior-first framework that derives the persona directly from mechanical constraints, ensuring the output actually influences design decisions rather than just filling a slide deck.
Use cases
- Validating if a new survival mechanic aligns with the existing player base's frustration tolerance.
- Defining clear pillars for a pitch deck to show publishers exactly which market segment the game captures.
- Resolving internal team conflicts when mechanics feel "mismatched" or contradictory.
Known limitations
Does not provide actual player data or telemetry. Market research and demographic layers are based on design inference and available comparative signals.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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