Debugging Game Feel logo

Debugging Game Feel

Organization
SummerEngine
debugging-game-feel

Debug features that work but feel wrong: floaty jumps, mushy combat, sluggish camera.

Overview

PublisherSummerEngine
Repositorysummer
Skill namedebugging-game-feel
Stars
91
Forks
8
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Debugging Game Feel 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/SummerEngine/summer/tree/main/library/skills/debugging-game-feel
  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/SummerEngine/summer.git /tmp/summer
mkdir -p .claude/skills
cp -r /tmp/summer/library/skills/debugging-game-feel .claude/skills/debugging-game-feel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debugging Game Feel 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 Debugging Game Feel 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 Debugging Game Feel 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.

Debugging Game Feel

Overview

"Works but feels wrong" is its own debugging discipline. The code is correct. No diagnostic flags it. The unit tests pass. And yet the jump is floaty, the sword has no weight, the camera lags the player, the dash is unsatisfying.

Core principle: Game-feel bugs are tuning bugs, not logic bugs. Treat them with discipline — isolate one variable, compare to a reference, measure what you can, feel what you can't.

This skill is for the diagnostic phase. The polish-and-juice layer (screen shake, hit-stop, particles, sound design) is game-feel — go there once you've identified WHICH variable is wrong.

When To Use

  • The user says: "feels floaty", "feels mushy", "feels off", "feels sluggish", "doesn't feel right", "lacks impact", "lacks weight", "doesn't feel satisfying".
  • The feature passes playtesting-a-feature (no errors, golden path runs) but still doesn't feel right.
  • You're tuning movement, combat, camera, or any interaction with frame-level timing.

When NOT To Use

  • The feature has a concrete reproducible bug — go to investigating-bugs.
  • The feature crashes or throws — go to debug.
  • The feature hasn't been built yet — design it via brainstorming first.

The Iron Law

ONE VARIABLE AT A TIME. ALWAYS.

Game-feel debugging is the place where engineers most often violate this rule, because each variable is a small tweak. "Let me bump acceleration AND friction AND max speed all together" produces a result you cannot reason about. You learn nothing. The bug returns.

The Loop

  Anchor → Isolate → Tweak one variable → Compare → Decide → Repeat

1. Anchor: name the reference

Before touching any value, decide what "right" feels like. Game feel is subjective; without an anchor, you are debugging air.

Two ways to anchor:

Anchor typeWhen to useExample
Reference game footageThe user has a target in mind (Hollow Knight jumps, Dark Souls weight, Hades dashes)"Match the Hollow Knight jump arc — peak in ~0.25s, fall ~0.35s, terminal velocity around frame 30"
Internal known-goodAn older build / a sibling feature in the same game already feels right"The pistol fires snappy. Make the rifle feel as snappy as the pistol minus the recovery frames."

Write the anchor down in one sentence. If the user can't articulate it, ask. "What game does this remind you of when it's working?" is a fast way to extract the reference.

2. Isolate: name the suspect variable

Game-feel bugs almost always live in one of a small set of axes. Pick the most likely one first.

DomainCommon suspect variables
Jumpgravity, jump velocity, terminal velocity, coyote-time window, jump-buffer window, variable-jump cutoff, apex hang time
Runacceleration, max speed, friction (ground vs air), deceleration on input release, turn-around speed
Combat hithit-stop duration (attacker), hit-stop duration (target), screen shake amplitude + duration, knockback velocity + decay, recovery frames
Camerafollow lag (lerp factor or spring stiffness), lookahead distance, deadzone size, snap-vs-smooth on direction change
Dashdistance, duration, ease curve, cooldown, i-frame window, end-lag
UI feedbackinput-to-response frame count, tween duration, easing function, sound onset delay

If you cannot pick one suspect: state the top two, pick the one you think is most likely (say which), tweak it, see if it moved the feel. Do not tweak both.

3. Tweak one variable

  • Read the current value via summer_inspect_node or open the relevant .tres / .gd file.
  • Change ONE value. Save.
  • Trigger summer_play and walk the feature.
  • Ask: did the feel move toward or away from the anchor?

4. Compare

Two compare modes:

Feel: subjective. The user (or you, if you have eyes on the screen) reports "warmer" or "colder." This is fine. Most game-feel work is felt, not measured.

Measure: objective. When the feel is ambiguous, drop down to frame counts — and take them yourself with a RunVerification probe rather than asking the user to eyeball anything. The probe presses the input, samples per frame, and hands back an array.

QuestionMeasurement
"Does the jump peak too fast?"Probe: press("jump"), sample player.velocity.y every process_frame, count frames to the sign flip
"Is the camera too laggy?"Probe: sample camera.global_position - target.global_position per frame while driving movement
"Is the input dead?"Probe: report the frame input was injected and the frame the state machine changed; subtract
"Is the hit-stop too short?"Probe: report frame at hit and frame at unfreeze

Sketch:

gdscript
extends SummerProbeBase
func _ready() -> void:
    await super._ready()
    await get_tree().process_frame
    var p := get_tree().root.find_child("Player", true, false)
    var trace: Array = []
    await press("jump", 100)
    for i in 40:
        await get_tree().process_frame
        trace.append(p.velocity.y)
    report("vel_y_per_frame", trace)
    save_frame("apex")
    finish()

Send it with summer_batch ops:[{"op":"RunVerification","probe_source":"<the probe>","max_seconds":20}].

The point of measurement is to ground the conversation in numbers when "feels off" stops being useful. You do not need to measure most tweaks — only the ambiguous ones. The verdict on whether it now feels right stays with the user — that part is genuinely subjective, and it is the only part of this loop you hand over.

5. Decide

After the tweak:

  • Felt closer to the anchor → commit the change, move to the next suspect variable if the feel still isn't right.
  • Felt further → revert the change, pick a different suspect variable.
  • No change in feel → revert the change, you tweaked the wrong variable.

Never leave a tweak in the codebase that you couldn't tell did anything. It will compound with the next tweak and you will lose the thread.

The Compounding Tweaks Trap

The most common failure mode in game-feel work:

  Jump feels floaty.
  Bump gravity from 980 → 1200. Still floaty.
  Bump it to 1500. A bit better.
  Also reduce jump velocity from 500 → 450.
  Also tweak terminal velocity 1500 → 2000.
  Also add a 3-frame coyote window because why not.
  Now it feels... different. But the dash that used to feel great no longer does.
  Try to undo? You don't remember the starting point.

Antidote:

  1. Note the starting values before you begin.
  2. One variable at a time.
  3. After every tweak, ask: anchor closer or farther? If unsure, revert.
  4. Commit small revertible changes — one variable per commit during a feel-tuning session. Easy to bisect.

Feel Principles (Briefly)

Game feel rests on three small ideas. Most "feels wrong" bugs trace to one of these being undertuned:

PrincipleWhat it meansWhat it looks like when broken
AnticipationA small wind-up before a big actionSword swings feel like they "appear" instead of being thrown
Follow-throughThe action continues past the inputPlayer snaps to a stop on input release — feels robotic
WeightVisible cost to changing direction or stoppingPlayer turns on a dime at full speed — feels weightless

These are diagnostic tools, not lecture material. When the user says "feels weightless," your suspect-variable shortlist is: deceleration on input release, friction, turn-around speed, animation cross-fade time.

Red Flags — STOP

Red flagReality
Tweaking 2+ variables in one play session without reverting betweenYou will lose the signal.
"Let me just feel it out without an anchor"You will tune in circles. Name the reference.
"The user said floaty so I'm jacking gravity""Floaty" can also mean weak air control, slow terminal velocity, or too-long apex hang. Confirm before tweaking.
Skipping the play step ("I'll just bump the number and trust the feel")Game feel is felt, not predicted. Play every tweak.
Adding "while I'm here" tweaks to unrelated featuresGame feel debugging is a focused activity. Stay on the one feature.
Going to game-feel before identifying the broken variableJuice on top of a broken tuning makes the bug louder. Fix tuning first.
Spending >30 minutes on one variable without progressThe anchor is wrong, or the variable is wrong. Step back, re-anchor.

Rationalization Prevention

ExcuseReality
"It's subjective — I'll just iterate fast"Fast iteration without isolation is thrashing, not iteration.
"I know game feel, I don't need an anchor"Even pros anchor. Especially pros anchor.
"Two variables are coupled, I have to tune them together"Then tune one, ship that delta, tune the other separately.
"The user can't articulate the anchor""What game does this remind you of when it works?" — one question, anchor obtained.
"Adding juice will hide the bad tuning"It won't. It amplifies it.

When To Escalate

After diagnosis pins down which variable(s) are wrong, the tuning is done — but the feature may still want polish. Hand off to:

  • game-feel — for the screen-shake, hit-stop, particle, sound layer once tuning is locked.
  • debug — if mid-debug you discover an actual error (signal not firing, node freed) hiding under the feel issue.

Related skills

  • investigating-bugs — for logical bugs with concrete repros, not feel.
  • playtesting-a-feature — the playtest discipline this skill plugs into.
  • debug — when the feel investigation surfaces an actual error.

From a shell

No Summer MCP tools in this session? Run each one as a command; when summer --version is missing or below 4.0, use npx -y summer-engine@latest in place of summer. Fields are flags in kebab-case (--scene-path res://main.tscn) or one --input '<json>', and summer ops describe <op> prints the exact input. The summer-cli skill has the rest.

In this skillCommand
summer_batchsummer engine batch
summer_inspect_nodesummer engine inspect-node
summer_playsummer engine play

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 Debugging Game Feel AI skill do?

Debug features that work but feel wrong: floaty jumps, mushy combat, sluggish camera.

Why use Debugging Game Feel on TypingMind?

Because you install it once and use it with any model. Debugging Game Feel 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 Debugging Game Feel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SummerEngine/summer/tree/main/library/skills/debugging-game-feel. 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 Debugging Game Feel?

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 Debugging Game Feel?

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

Is the Debugging Game Feel AI skill free?

Yes. It is published on GitHub by SummerEngine under the MIT license. 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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