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Game Design Peak End Audit

by Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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/install game-design-peak-end-audit
Description
Audit a game, feature, session, level, event, onboarding flow, reward sequence, or return-player experience through the lens of the peak-end rule. Use when e...
README (SKILL.md)

Game Design Peak-End Audit

Audit a design by asking which moments dominate memory and whether the experience earns the memory it leaves behind.

Use this skill when the important question is not just how the experience feels moment to moment, but how players will remember it afterward. The goal is to identify the emotional peaks, the ending shape, and the aftertaste that determine whether a session, level, feature, event, or sequence is remembered as exciting, exhausting, disappointing, triumphant, or forgettable.

Read references/family-conventions.md when you want the shared style, prioritization, and diagnosis rules for this game-design skill family. Read references/output-patterns.md when you want the preferred recommendation and minimal-fix structure.

Core principle

Players do not remember an experience as an average of every second they lived through.

They disproportionately remember:

  • the strongest emotional peaks
  • the ending
  • the story those moments imply afterward

That means a design with decent average quality can still be remembered badly if:

  • its emotional peaks are weak
  • its worst spike dominates memory
  • its ending sours the whole experience

And a rougher experience can still land well if:

  • its peak is strong and meaningful
  • its ending resolves cleanly
  • the memory closes with satisfaction, momentum, relief, or anticipation

What to produce

Generate:

  1. Peak-end profile - the strongest peaks, the ending shape, and the likely remembered summary
  2. Memory dominance diagnosis - which moments will overshadow the rest of the experience
  3. Ending-quality diagnosis - whether the closing moments strengthen or poison the memory
  4. Experience-shape risks - where the design is setting itself up to be remembered for the wrong thing
  5. Design actions - what to amplify, soften, reorder, frame, or close differently

Process

1. Define the audit target

Clarify:

  • what exact experience slice is being audited
  • where it begins and ends from the player's point of view
  • what player segment matters most

Write:

  • Audit target
  • Experience window
  • Primary player segment

2. Map the emotional shape over time

Break the experience into phases and ask:

  • where does emotional intensity rise?
  • where does it sag?
  • where does frustration spike?
  • where does satisfaction spike?
  • what is the final emotional note?

Do not settle for generic labels like "good pacing." Name the moments.

3. Identify positive and negative peaks

Look for the moments most likely to become the remembered highlight or remembered wound.

Examples:

  • first big win
  • dramatic comeback
  • painful difficulty spike
  • surprising reveal
  • humiliating loss
  • beautiful payoff moment
  • reward opening high
  • last-minute collapse

For each peak, ask:

  • how intense is it?
  • how clear is it?
  • does it support the intended fantasy?
  • is it the thing you actually want remembered?

4. Audit the ending

The ending may be:

  • session close
  • boss resolution
  • reward-claim sequence
  • level completion
  • event wrap-up
  • return-to-hub state
  • defeat screen and immediate aftermath

Ask:

  • what emotion does the player leave with?
  • does the ending frame the previous experience positively or negatively?
  • does it create closure, momentum, relief, excitement, emptiness, or irritation?
  • does it respect the effort that preceded it?

5. Determine the likely remembered story

Translate the shape into the sentence the player is likely to remember later.

Examples:

  • "That run had one incredible clutch ending"
  • "The fight was fine, but the ending reward felt pathetic"
  • "That event was mostly chores and then it just sort of stopped"
  • "The level was hard, but the payoff made it worth it"

If the remembered sentence is bad, average quality elsewhere may not save the experience.

6. Diagnose peak-end failure patterns

Look for:

  • strong negative spike dominating weak positives
  • flat experience with no memorable high
  • rewarding middle but deflating ending
  • emotionally strong ending attached to a fantasy mismatch
  • punishing final note after meaningful progress
  • reward ceremony too weak for the effort invested
  • admin or UI sludge contaminating the exit

7. Check segment differences

Ask whether:

  • new players experience the worst peak where veterans experience the best one
  • one audience sees relief while another sees boredom
  • the ending hits differently depending on skill, investment, or outcome state

8. Convert findings into design changes

For each issue, specify:

  • Peak-end problem
  • Why it will dominate memory
  • Suggested change
  • Expected effect on remembered experience

Examples:

  • strengthen the success payoff -> improves remembered value of the whole sequence
  • remove admin friction at the end -> prevents sour aftertaste
  • soften one brutal late spike -> stops the whole feature being remembered as hostile
  • reorder the reward reveal -> lets the ending carry more emotional weight

Response structure

Use this structure unless the user asks for something else:

Audit Target

  • ...

Peak-End Profile

  • ...

Positive Peaks

  • ...

Negative Peaks

  • ...

Ending Quality

  • ...

Likely Remembered Story

  • ...

Recommendations

  1. ...
  2. ...
  3. ...

Minimal Fix

  • ...

Fast mode

Use this quick pass when speed matters:

  • What is the strongest moment?
  • What is the worst moment?
  • What is the final emotional note?
  • Which of those will dominate memory?
  • What one change would most improve the remembered aftertaste?

Usage notes

This audit is especially useful for:

  • onboarding and first-session retention
  • boss fights and level endings
  • event wrap-ups
  • reward ceremonies and chest openings
  • return-player flows
  • session exits and stop points
  • defeat aftermaths
  • premium or high-effort experiences where memory quality really matters

Common patterns to watch for:

  • many systems are fine in aggregate but remembered badly because the ending is weak
  • a single ugly late frustration spike can poison an otherwise decent feature
  • reward structure often over-focuses on average yield and under-focuses on emotional ending quality
  • if the strongest remembered moment is the wrong one, the design has a memory-shape problem
  • closure and anticipation are both valid endings, but aimlessness is not

Working principle

The experience players remember is often not the one designers think they shipped.

Use this skill to identify which moments actually own the memory and whether that memory helps or hurts the design.

Usage Guidance
This skill is low-risk and internally consistent: it’s a pure design prompt with bundled reference docs and no external access. Before installing, verify you trust the skill publisher (source unknown) and avoid supplying any sensitive production data when running audits. If you plan to use this in automated/long-running agents, periodically re-check the skill bundle for updates or added code, and do not grant environment credentials or file-system access beyond the design artifacts you intend to analyze.
Capability Analysis
Type: OpenClaw Skill Name: game-design-peak-end-audit Version: 1.0.0 The skill bundle is a legitimate game design audit tool based on the 'peak-end rule' psychological principle. All files, including SKILL.md and the reference documents in the references/ directory, contain instructions and frameworks for analyzing player experience, emotional peaks, and session endings. There is no evidence of malicious intent, data exfiltration, unauthorized execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The name and description match the provided SKILL.md: the skill's purpose is to audit player memory via peak-end analysis and every required element (mapping peaks, diagnosing endings, producing recommendations) is coherent with that purpose.
Instruction Scope
SKILL.md contains only design-audit steps, questions, and output structure. It refers to the included reference documents for style and output patterns (which are bundled). It does not instruct reading arbitrary system files, using credentials, calling external endpoints, or running commands outside the audit scope.
Install Mechanism
There is no install specification and no code files that would be written or executed on the host. Being instruction-only, it has a minimal on-disk footprint and low installation risk.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. Nothing requested appears disproportionate to a game-design audit.
Persistence & Privilege
Flags show always:false and normal model invocation settings. The skill does not request persistent presence, modify other skills, or ask for elevated system privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install game-design-peak-end-audit
  3. After installation, invoke the skill by name or use /game-design-peak-end-audit
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug game-design-peak-end-audit
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Game Design Peak End Audit?

Audit a game, feature, session, level, event, onboarding flow, reward sequence, or return-player experience through the lens of the peak-end rule. Use when e... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install Game Design Peak End Audit?

Run "/install game-design-peak-end-audit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Game Design Peak End Audit free?

Yes, Game Design Peak End Audit is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Game Design Peak End Audit support?

Game Design Peak End Audit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Game Design Peak End Audit?

It is built and maintained by Stanislav Stankovic (@stanestane); the current version is v1.0.0.

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