Input Systems logo

Input Systems

OrganizationPopular
gamedev-skills
input-systems

Architect game input — action mapping (abstracting keys into named actions), rebinding with conflict detection and persistence, multi-device support (keyboard, gamepad, touch), analog deadzones, and feel features like input buffering and coyote time, plus accessibility. Engine-neutral. Use when the user mentions input mapping, rebind controls, gamepad support, deadzone, input buffering, coyote time, or accessible controls.

Overview

Publishergamedev-skills
Repositoryawesome-gamedev-agent-skills
Skill nameinput-systems
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 Input Systems 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/input-systems
  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/input-systems .claude/skills/input-systems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Input Systems 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 Input Systems 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 Input Systems 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.

Input systems

Never wire gameplay to raw keys. Map physical inputs (a key, a button, a touch) to named actions (jump, interact, move), and let gameplay read actions. That one indirection gives you rebinding, multi-device support, and accessibility almost for free. This skill is the engine-neutral architecture; bind it to unity-input-system, unreal-enhanced-input, or Godot's InputMap.

When to use

  • Use to design an input layer: actions, bindings, multiple devices, and a rebinding UI with conflict detection and saved bindings.
  • Use to add analog handling (deadzones, sensitivity) and game-feel features (input buffering, coyote time).
  • Use to make controls accessible (full remapping, hold-vs-toggle, sensitivity, no required simultaneous presses).

When not to use: for an engine's concrete input package/API, use unity-input-system, unreal-enhanced-input, or Godot's InputMap. For the movement/jump physics the buffer feeds, see physics-tuning and the engine movement skill. Persisting bindings to disk is save-systems.

Core workflow

  1. Define actions, not keys. Gameplay asks "is jump pressed?", never "is Space pressed?". Actions are the stable contract; bindings are data.
  2. Bind per device. Each action holds bindings for keyboard, gamepad, and touch. The active device is whichever last sent input; swap UI prompts to match.
  3. Read the right edge. Use pressed-this-frame (edge) for discrete actions (jump, interact) and held (level) for continuous ones (move, aim). Confusing the two causes double-fires or missed presses.
  4. Filter analog input. Apply a deadzone to sticks/triggers so resting drift reads as zero, and scale sensitivity/curve to taste.
  5. Buffer for feel. Remember a pressed action for a short window so a slightly early press still fires (input buffering); allow a jump shortly after leaving a ledge (coyote time).
  6. Make rebinding first-class. A UI that captures the next input, detects conflicts, and persists bindings — and a reset-to-default. Save via save-systems.
  7. Verify on every device and with rebinds: keyboard, gamepad, touch; rebind an action mid-game and confirm gameplay and prompts follow.

Patterns

1. Actions over raw keys; edge vs held

gdscript
# Gameplay reads ACTIONS. The mapping from key/button to action lives in data.
# Discrete (edge): fire once on the press frame.
if Input.is_action_just_pressed("jump"):
    try_jump()
# Continuous (held): read every frame as an axis.
var move := Input.get_axis("move_left", "move_right")   # -1..1
player.velocity.x = move * RUN_SPEED
# RIGHT: name actions ("jump"); rebinding/devices just change the binding data.
# WRONG: `if Input.is_key_pressed(KEY_SPACE)` — unrebindable, keyboard-only,
# and `is_key_pressed` is a held check that would re-fire jump every frame.

Engine equivalents: Godot InputMap + Input.is_action_just_pressed; Unity Input System InputAction / action maps; Unreal Enhanced Input Input Actions + Input Mapping Contexts.

2. Analog deadzone and sensitivity

gdscript
# Raw sticks never rest at exactly zero. Apply a RADIAL deadzone (on the vector
# length), not per-axis, so diagonals aren't clipped into the axes.
func apply_deadzone(stick: Vector2, dead := 0.2, sens := 1.0) -> Vector2:
    var mag := stick.length()
    if mag < dead:
        return Vector2.ZERO                      # inside deadzone -> no movement
    # Rescale so motion ramps from 0 at the edge of the deadzone, not from `dead`.
    var scaled := (mag - dead) / (1.0 - dead)
    return stick.normalized() * pow(scaled, sens)  # sens>1 = finer near center
# WRONG: clamping each axis separately — it carves a square hole and snaps to axes.

3. Input buffering + coyote time (forgiving, responsive feel)

gdscript
# Buffer: a jump pressed slightly BEFORE landing still triggers on touchdown.
# Coyote: a jump pressed slightly AFTER walking off a ledge still works.
const BUFFER := 0.12   # seconds an early press stays "remembered"
const COYOTE := 0.10   # seconds after leaving ground you can still jump
var _buffer_timer := 0.0
var _coyote_timer := 0.0

func _physics_process(dt):
    _buffer_timer -= dt
    _coyote_timer = COYOTE if is_on_floor() else _coyote_timer - dt
    if Input.is_action_just_pressed("jump"):
        _buffer_timer = BUFFER                  # remember the press
    if _buffer_timer > 0.0 and _coyote_timer > 0.0:
        velocity.y = JUMP_VELOCITY
        _buffer_timer = 0.0; _coyote_timer = 0.0  # consume both so it fires once

4. Rebinding with conflict detection

gdscript
# Capture the next physical input, reject duplicates, then persist.
func rebind(action: String, event: InputEvent) -> bool:
    for other in actions:                        # conflict check across actions
        if other != action and binding_of(other) == event:
            return false                         # already used -> let UI warn/swap
    set_binding(action, event)                   # engine: erase old + add new event
    save_bindings()                              # persist (see save-systems)
    return true
# Always provide "reset to defaults", and never let the player unbind a key they
# need to reach the menu without an alternative.

Pitfalls

  • Hardcoding keys in gameplay blocks rebinding, locks out gamepad/touch, and scatters input logic. Read named actions only.
  • Edge vs held confusion: using a held check for jump re-fires every frame; using an edge check for movement drops held input. Match the check to the action.
  • Per-axis deadzones clip diagonal stick input and snap movement to the axes. Use a radial deadzone on the vector magnitude.
  • No buffering/coyote time makes tight platformers feel unfair even when the physics are correct — players "clearly pressed jump". Add small windows.
  • Rebinding without conflict handling lets two actions share a key, or strands the player by unbinding menu access. Detect conflicts; guarantee a way back.
  • Not swapping prompts on device change shows "Press Space" to a gamepad player. Track the last-used device and switch glyphs.
  • Ignoring accessibility: required simultaneous presses, no remap, fixed sensitivity, hold-only actions. Offer remap, toggle-vs-hold, and sensitivity.
  • Reading input in the wrong loop: poll held state in the physics step for consistent movement; capture discrete presses so none are missed between frames.

References

  • references/buffering-and-accessibility.md — buffering/coyote tuning, jump feel (variable height, apex), device detection and prompt swapping, touch controls, and an accessibility checklist (remap, toggle/hold, sensitivity, latency).

Related skills

  • unity-input-system, unreal-enhanced-input — concrete engine input APIs (Godot uses InputMap + the Input singleton).
  • save-systems — persist custom key bindings and input settings.
  • physics-tuning — the movement the buffer/coyote windows feed into.
  • platformer, fps-shooter — genres whose feel depends on input handling.

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 Input Systems AI skill do?

Architect game input — action mapping (abstracting keys into named actions), rebinding with conflict detection and persistence, multi-device support (keyboard, gamepad, touch), analog deadzones, and feel features like input buffering and coyote time, plus accessibility. Engine-neutral. Use when the user mentions input mapping, rebind controls, gamepad support, deadzone, input buffering, coyote time, or accessible controls.

Why use Input Systems on TypingMind?

Because you install it once and use it with any model. Input Systems 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 Input Systems 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/input-systems. 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 Input Systems?

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 Input Systems?

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

Is the Input Systems 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.

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