Physics Tuning logo

Physics Tuning

OrganizationPopular
gamedev-skills
physics-tuning

Tune game physics for stable, good-feeling motion — fixed vs variable timestep, render interpolation, mass/gravity/drag, continuous collision detection (CCD) to stop tunneling, fixing jitter, and collision layers/masks. Engine-neutral. Use when the user mentions physics feel, jitter, tunneling, fixed timestep, FixedUpdate, CCD, bouncing/unstable physics, or collision layers.

Overview

Publishergamedev-skills
Repositoryawesome-gamedev-agent-skills
Skill namephysics-tuning
Stars
1.3K
Forks
107
Bundled files
1
LicenseApache-2.0
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 gamedev-skills on GitHub. Read the source before you install it.

Installation

Install the Physics Tuning 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/gamedev-skills/awesome-gamedev-agent-skills/tree/main/skills/disciplines/physics-tuning
  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/gamedev-skills/awesome-gamedev-agent-skills.git /tmp/awesome-gamedev-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-gamedev-agent-skills/skills/disciplines/physics-tuning .claude/skills/physics-tuning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Physics Tuning 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 Physics Tuning 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 Physics Tuning 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.

Physics tuning

Most "bad physics" is not a bug in the engine — it's a mismatch between the fixed-timestep simulation and the variable-rate render loop, or untuned mass/drag/CCD/layer settings. This skill covers the engine-neutral knobs that make physics stable and responsive; pair it with godot-physics or unity-physics for the concrete APIs.

When to use

  • Use when motion jitters, objects pass through walls (tunneling), stacks explode, or movement feels floaty/sticky/laggy.
  • Use to decide what goes in the fixed (physics) step vs the render frame, and how to interpolate between them.
  • Use to tune gravity, mass, drag, restitution, solver iterations, sleeping, and collision layers/masks.

When not to use: for an engine's exact physics nodes/components and collision callbacks, use godot-physics or unity-physics. For movement decisions (when to jump, AI steering) use input-systems and game-ai. For platformer jump-feel specifics like coyote time/jump buffering, that's input/ controller territory — see input-systems and the platformer genre.

Core workflow

  1. Run physics on a fixed timestep. Simulate at a constant rate (e.g. 50–60 Hz). A fixed dt makes the simulation deterministic-ish and stable; a variable dt makes integration and collisions inconsistent.
  2. Put physics work in the physics callback, not the render frame. Apply forces/velocities and read collisions in the fixed step (FixedUpdate / _physics_process), using that step's dt.
  3. Interpolate rendering between physics ticks. The render frame rate ≠ the physics rate, so smoothly interpolate transforms toward the latest physics state, or enable the engine's Rigidbody interpolation, to remove visible stutter.
  4. Tune the body, not the scene. Set mass for relative weight, drag for damping, gravity scale per object, and restitution/friction via materials.
  5. Stop tunneling with CCD on small/fast bodies; cap maximum velocity.
  6. Stabilize stacks/joints with more solver iterations, sane mass ratios, and sleeping for resting bodies.
  7. Verify by feel and stress test. Play at low and high frame rates; throw fast objects at thin walls; stack and shove bodies. Report what you observed.

Patterns

1. Fixed timestep for simulation, render interpolation for smoothness

gdscript
# Physics callback: runs at the FIXED rate. Use its dt for all integration.
func _physics_process(dt):                  # Unity: void FixedUpdate()
    velocity += gravity * dt                # integrate with the FIXED dt
    move_and_slide()                        # engine resolves collisions this step
    _prev_pos = _curr_pos; _curr_pos = global_position   # record for interpolation

# Render frame: runs as fast as the display. Interpolate between physics states.
func _process(_frame_dt):                   # Unity: void Update()
    var alpha = Engine.get_physics_interpolation_fraction()  # 0..1 within the tick
    visual.global_position = _prev_pos.lerp(_curr_pos, alpha)
# RIGHT: integrate in the fixed step, render via interpolation.
# WRONG: applying forces in _process/Update with frame dt — speed and collisions
# then depend on frame rate and jitter under load.

Most engines offer this for you (Godot physics_interpolation/Rigidbody interpolate; Unity Rigidbody.interpolation = Interpolate). Prefer the built-in before hand-rolling.

2. Stop tunneling: CCD + a speed cap

gdscript
# Fast, small bodies skip past thin colliders between ticks. Two fixes:
body.continuous_cd = true            # RigidBody3D bool (RigidBody2D: CCD_MODE_* enum). Unity: rb.collisionDetectionMode = Continuous
# Cap velocity so a single step can't move more than ~one collider thickness.
const MAX_SPEED := 40.0
if velocity.length() > MAX_SPEED:
    velocity = velocity.normalized() * MAX_SPEED
# Rule of thumb: max_distance_per_step (= speed / physics_hz) should be < the
# thinnest wall. Raise physics_hz or enable CCD when that fails.

3. Body tuning: mass, drag, gravity scale, material

gdscript
# Mass is RELATIVE weight in collisions; it does NOT change fall speed (gravity
# accelerates all masses equally). Use drag and gravity_scale to shape feel.
body.mass = 2.0                      # heavier pushes lighter in collisions
body.linear_damp = 0.5               # air drag: higher = stops sooner (Unity: drag)
body.gravity_scale = 1.5             # per-object gravity multiplier (snappier fall)
# Bounce/slide come from the physics material, not code:
material.bounce = 0.2                # restitution 0..1 (Unity: bounciness)
material.friction = 0.8              # surface grip

4. Collision layers and masks (who collides with whom)

gdscript
# A body is ON its layer(s) and SCANS the layers in its mask. Both directions of a
# pair must be configured for them to interact.
player.collision_layer = LAYER_PLAYER
player.collision_mask  = LAYER_WORLD | LAYER_ENEMY     # player detects world+enemies
pickup.collision_layer = LAYER_PICKUP
pickup.collision_mask  = LAYER_PLAYER                  # pickup only reacts to player
# Unity equivalent: assign GameObject layers and edit the Physics collision matrix
# (or Physics.IgnoreLayerCollision). Keep a named layer constant table, not magic numbers.

Pitfalls

  • Applying forces/movement in the render frame (Update/_process) makes behavior frame-rate dependent — faster PCs run faster, and collisions get flaky. Do simulation in the fixed step.
  • Visible jitter even with a fixed step usually means no render interpolation: the physics rate and display rate beat against each other. Enable interpolation.
  • Tunneling through thin walls: discrete collision misses fast movers. Enable CCD, cap speed, thicken walls, or raise the physics rate.
  • Expecting heavier objects to fall faster. Gravity is acceleration; mass affects collision response, not fall speed. Use gravity_scale/drag for feel.
  • Exploding stacks / jittery joints: mass ratios too extreme, or too few solver iterations. Keep mass ratios modest and raise iteration counts.
  • Bodies that never rest burn CPU and twitch. Enable sleeping and a sensible sleep threshold for resting objects.
  • One-directional layer setup: A's mask includes B but B's mask excludes A. Detection/collision can need both sides; verify the full matrix.
  • Huge dt spikes (load hitches, breakpoints) blow up integration. Clamp the max physics step / substep count so a stall doesn't launch everything.

References

  • references/timestep-and-ccd.md — the fixed-timestep accumulator loop, interpolation math, substepping, CCD modes, solver/iteration tuning, sleeping, and a stability checklist.

Related skills

  • godot-physics, unity-physics — concrete bodies, colliders, and callbacks.
  • input-systems — responsive controls, jump buffering, coyote time.
  • game-ai — agent movement that must agree with the physics step.
  • platformer, fps-shooter — genres whose feel depends on this tuning.

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 Physics Tuning AI skill do?

Tune game physics for stable, good-feeling motion — fixed vs variable timestep, render interpolation, mass/gravity/drag, continuous collision detection (CCD) to stop tunneling, fixing jitter, and collision layers/masks. Engine-neutral. Use when the user mentions physics feel, jitter, tunneling, fixed timestep, FixedUpdate, CCD, bouncing/unstable physics, or collision layers.

Why use Physics Tuning on TypingMind?

Because you install it once and use it with any model. Physics Tuning 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 Physics Tuning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gamedev-skills/awesome-gamedev-agent-skills/tree/main/skills/disciplines/physics-tuning. 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 Physics Tuning?

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 Physics Tuning?

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

Is the Physics Tuning AI skill free?

Yes. It is published on GitHub by gamedev-skills under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇