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Game Design Flow Audit

Community
Stanestane
game-design-flow-audit

Audit a game, feature, level sequence, combat loop, progression curve, onboarding path, event structure, or return-player journey through the lens of Flow theory. Use when evaluating whether challenge and skill stay aligned over time, diagnosing boredom, anxiety, frustration spikes, difficulty cliffs, dead zones, or pacing drift, or identifying where a design stops feeling absorbing and starts feeling exhausting or empty.

Overview

PublisherStanestane
Repositorygame-design-skills-bundle
Skill namegame-design-flow-audit
Stars
87
Forks
18
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Stanestane on GitHub. Read the source before you install it.

Installation

Install the Game Design Flow Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Stanestane/game-design-skills-bundle/tree/master/game-design-flow-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Stanestane/game-design-skills-bundle.git /tmp/game-design-skills-bundle
mkdir -p .claude/skills
cp -r /tmp/game-design-skills-bundle/game-design-flow-audit .claude/skills/game-design-flow-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Game Design Flow Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Game Design Flow Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Game Design Flow Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Game Design Flow Audit

Audit a design by asking whether it keeps players in a productive state of engagement over time.

Use this skill to evaluate whether challenge rises in step with player skill, where the experience becomes boring or overwhelming, and which moments break the player's sense of momentum. Focus on temporal experience and pacing, not static difficulty labels.

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

Flow emerges when challenge and player skill stay in meaningful tension and grow together over time.

Typical failure shapes:

  • Challenge above skill -> anxiety, confusion, frustration
  • Skill above challenge -> boredom, autopilot, disengagement
  • No visible skill growth -> stagnation, flatness, drop-off

A flow audit is not just about whether the game is hard. It is about whether the game keeps giving the player something they can meaningfully rise to.

What to produce

Generate:

  1. Flow curve summary - the overall engagement shape over time
  2. Phase breakdown - where the player is in flow, boredom, or anxiety
  3. Breakpoints - the exact moments where flow is likely to break
  4. Skill-versus-challenge diagnosis - what is misaligned and why
  5. Design actions - specific changes to restore momentum and absorption

Process

1. Define the audit target

Clarify:

  • what part of the experience is being audited
  • what player segment matters most
  • what time window matters most

Write:

  • Audit target
  • Player segment
  • Relevant timeline

2. Map the experience over time

Break the target into phases such as:

  • first 30 seconds
  • first 5 minutes
  • first session
  • early mastery
  • midgame
  • endgame
  • return-player re-entry

For each phase, identify:

  • what the player is trying to do
  • what the game asks of them
  • what counts as success
  • how much support exists

3. Identify the required skill axes

Separate the skill demands into useful buckets such as:

  • mechanical execution
  • tactical judgment
  • strategic planning
  • system comprehension
  • attention management
  • social coordination

Ask:

  • What does the player actually need to be good at here?
  • Which skills are newly introduced, tested, or combined?
  • Which skills are ignored or overemphasized?

4. Judge challenge versus skill in each phase

For every phase, evaluate:

  • current challenge level
  • expected player skill level
  • resulting flow state

Use this format:

PhaseKey challengeExpected player skillLikely state
.........Flow / Boredom / Anxiety

5. Identify breakpoints and transition failures

Look for moments where:

  • the game asks for mastery before teaching
  • difficulty spikes without warning
  • complexity stacks too quickly
  • the loop becomes repetitive without new pressure
  • rewards stall while demands rise
  • the player loses sight of goals or progress

Name the specific handoff or step where flow breaks, not just the general area.

6. Evaluate pacing and learning support

Assess whether the design:

  • introduces one meaningful complexity at a time
  • gives feedback fast enough to support learning
  • varies challenge without becoming chaotic
  • creates enough novelty to prevent boredom
  • allows recovery after failure
  • respects differences between new, intermediate, and expert players

7. Convert findings into design changes

For each issue, specify:

  • Breakpoint
  • Why flow breaks there
  • Suggested change
  • Expected effect on the curve

Examples:

  • reduce early enemy density -> lowers anxiety spike
  • delay second-system introduction -> reduces overload
  • add optional mastery pressure later -> reduces boredom plateau
  • improve re-entry summary -> restores flow for returning players

Response structure

Use this structure unless the user asks for something else:

Audit Target

  • ...

Flow Curve Summary

  • ...

Phase Breakdown

  • ...

Critical Breakpoints

  • ...

Skill vs Challenge Analysis

  • ...

Segment Sensitivity

  • ...

Recommendations

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

Minimal Fix

  • ...

Fast mode

Use this quick pass when speed matters:

  • Where is the player likely bored?
  • Where are they likely overwhelmed?
  • What is the first major flow break?
  • Which skill is under-supported?
  • What one change would most improve challenge-skill alignment?

Usage notes

This audit is especially useful for:

  • FTUE and onboarding
  • first combat sequences
  • midgame pacing drift
  • live event structures
  • difficulty progression
  • mission sequencing
  • roguelite run structure
  • endgame mastery loops
  • return-player catch-up experiences

Common patterns to watch for:

  • early spikes create churn before skill identity forms
  • flat midgames create low-energy retention even with decent progression
  • too much support can prevent anxiety but still create boredom
  • raw stat inflation often breaks flow worse than richer decision-making does
  • the same challenge can produce flow for experts and anxiety for newcomers

Working principle

Players stay absorbed when the game keeps saying, "you can stretch a bit further."

Use this skill when a design feels off in motion: too flat, too spiky, too tiring, or just mysteriously less compelling than it should be.


Part of the Game Design Skills Bundle by Stanislav Stankovic. Licensed under PolyForm Noncommercial 1.0.0 — free for personal, academic and nonprofit use. Commercial use requires a licence, sold as skill packs. See https://github.com/Stanestane/game-design-skills-bundle for terms.

Required Notice: Copyright Stanislav Stankovic (https://www.stane-island.net/)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Game Design Flow Audit AI skill do?

Audit a game, feature, level sequence, combat loop, progression curve, onboarding path, event structure, or return-player journey through the lens of Flow theory. Use when evaluating whether challenge and skill stay aligned over time, diagnosing boredom, anxiety, frustration spikes, difficulty cliffs, dead zones, or pacing drift, or identifying where a design stops feeling absorbing and starts feeling exhausting or empty.

Why use Game Design Flow Audit on TypingMind?

Because you install it once and use it with any model. Game Design Flow Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Game Design Flow Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Stanestane/game-design-skills-bundle/tree/master/game-design-flow-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Game Design Flow Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Game Design Flow Audit?

As many as you like. As long as a model supports skills, you can use Game Design Flow Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Game Design Flow Audit AI skill free?

It is published on GitHub by Stanestane. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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