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Dialogue Systems

OrganizationPopular
gamedev-skills
dialogue-systems

Build branching dialogue and narrative — a node/choice graph with conditions, variables, and localization hooks — and choose between authoring tools Ink and Yarn Spinner or a custom data-driven runner. Engine-neutral. Use when the user mentions dialogue system, branching dialogue, conversation tree, choices, Ink (.ink), Yarn Spinner (.yarn), or NPC dialogue.

Overview

Publishergamedev-skills
Repositoryawesome-gamedev-agent-skills
Skill namedialogue-systems
Stars
1.3K
Forks
107
Bundled files
2
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.

  • 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 gamedev-skills on GitHub. Read the source before you install it.

Installation

Install the Dialogue 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/dialogue-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/dialogue-systems .claude/skills/dialogue-systems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dialogue 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 Dialogue 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 Dialogue 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.

Dialogue systems

Model conversations as a graph: nodes hold lines, choices branch the flow, conditions gate options, and variables remember what the player did. The first real decision is build vs. buy — adopt a proven authoring tool (Ink or Yarn Spinner) or write a small data-driven runner. This skill owns both Ink and Yarn; the visual-novel and rpg genres consume it.

When to use

  • Use to design branching conversations, choice menus, or narrative state (flags, relationship values) that affect later dialogue.
  • Use to decide between Ink, Yarn Spinner, and a custom JSON/resource format.
  • Use to wire a dialogue script into your game loop (advance line, present choices, run commands, resolve variables).

When not to use: for engine UI (text boxes, portraits, choice buttons), use godot-ui-control or the engine's UI skill. For persisting narrative variables across sessions, use save-systems. For data-as-resources in Godot/Unity, see godot-resources / unity-scriptableobjects.

Core workflow

  1. Choose the authoring approach.
    • Ink — prose-first, writer-friendly, weave/gather flow; great for dialogue-heavy or CYOA narrative. Integrate via ink runtime / inkle plugins.
    • Yarn Spinner — node-based, explicit <<commands>>, strong for game-driven dialogue with lots of engine hooks.
    • Custom runner — a JSON/resource graph + a small interpreter when you need full control or minimal dependencies. Don't build a language; build a graph.
  2. Define the node contract. A node yields one of: a line (speaker + text), a set of choices, a command/side-effect, or an end/jump. The runner advances through nodes and hands lines/choices to the UI.
  3. Separate variables from flow. Keep a variable store (booleans, numbers, strings) the dialogue reads/writes; gate choices with conditions over it.
  4. Localize from the start. Author with line IDs, not raw strings, so the displayed text comes from a string table keyed by locale.
  5. Drive it from the game loop. The runner is a state machine: current node → emit content → wait for input (continue or choice) → advance.
  6. Verify by walking branches. Exercise each choice path; confirm conditions, variable writes, and that every branch reaches an end or a valid jump.

Patterns

1. Engine-neutral dialogue graph (data, not code)

json
{
  "start": "guard_intro",
  "nodes": {
    "guard_intro": {
      "speaker": "Guard", "line": "DLG_GUARD_001",
      "choices": [
        { "text": "DLG_OPT_BRIBE", "to": "bribe", "if": "gold >= 50" },
        { "text": "DLG_OPT_LEAVE", "to": "end" }
      ]
    },
    "bribe": {
      "speaker": "Guard", "line": "DLG_GUARD_BRIBED",
      "set": { "gate_open": true, "gold": "gold - 50" },
      "next": "end"
    },
    "end": { "end": true }
  }
}

line/text are string-table IDs (localization), not literal text. if gates a choice; set mutates the variable store. The full interpreter that walks this graph is in references/runner.md.

2. Runner step (a state machine over the graph)

gdscript
# The runner holds the current node and a variable store; the UI calls advance().
func present(node):
    if node.has("line"):
        ui.show_line(node.speaker, localize(node.line))
    if node.has("choices"):
        var shown = node.choices.filter(func(c): return eval_cond(c.get("if", "")))
        ui.show_choices(shown)            # only choices whose condition passes

func choose(choice):                       # called when the player clicks a choice
    apply_set(choice.get("set", {}))       # write variables
    goto(choice.to)

func goto(id):
    current = graph.nodes[id]
    apply_set(current.get("set", {}))
    if current.get("end", false): ui.close(); return
    present(current)
    if current.has("next") and not current.has("choices"):
        goto(current.next)                 # auto-advance linear nodes

3. Ink — branching with knots, choices, and variables (inkle)

ink
// Ink: '*' = once-only choice, '+' = sticky. [bracketed] text shows only in the
// choice, not the printed result. '->' diverts; '-> END' stops the flow.
VAR gold = 60

=== guard_intro ===
The guard blocks the gate.
* {gold >= 50} [Offer 50 gold]   "Here, take it."
    ~ gold = gold - 50
    The guard pockets it and steps aside. -> END
* [Leave]   You turn back. -> END

Ink tracks how often each knot was seen, so {visited_knot} is a built-in condition. Variables are global (VAR) or temporary (~ temp).

4. Yarn Spinner — nodes, options, and commands (Yarn Spinner 3.x)

yarn
title: GuardIntro
---
<<declare $gold = 60>>
<<declare $gate_open = false>>
Guard: You can't pass.
-> Offer 50 gold <<if $gold >= 50>>
    <<set $gold = $gold - 50>>
    Guard: ...fine. Go on through.
    <<set $gate_open to true>>
-> Leave
    Guard: Good choice.
===

Yarn lines may start with Speaker:; options use ->; <<set>>/<<declare>> manage $variables; <<if>> gates an option; <<jump NodeName>> moves between nodes. Interpolate values in text with {$gold}. Declare every variable before first use: an undeclared one still compiles (Yarn infers its type and a zero/false/empty start value), but that hides typos. These constructs are unchanged from Yarn Spinner 2.x.

Pitfalls

  • Hardcoding display strings instead of line IDs makes localization a rewrite. Author against a string table from day one.
  • Inventing a scripting language for a simple branching tree. If you only need lines + choices + flags, a JSON/resource graph plus a 50-line runner beats a parser you must maintain. Use Ink/Yarn when writers need real flow control.
  • Variables coupled to the UI: store narrative state separately so the same dialogue works in cutscenes, menus, and tests. Persist it via save-systems.
  • Unreachable or dead-end nodes: a node with no next, choices, or end silently stalls. Validate that every node terminates or branches.
  • Mutating state in a line node the player can revisit double-applies (gold drained twice). Apply set on the transition, or guard with a seen-flag.
  • Mixing Ink's * (once-only) and + (sticky) by accident: looped menus need sticky + choices or the options vanish after one use.

References

  • references/ink-and-yarn.md — side-by-side syntax cheat sheet (choices, diverts/jumps, variables, conditions, includes) and integration notes.
  • references/runner.md — a complete custom dialogue runner: graph schema, condition/expression evaluation, variable store, and localization lookup.

Related skills

  • save-systems — persist narrative variables and seen-flags.
  • godot-resources, unity-scriptableobjects — store dialogue as engine data.
  • godot-ui-control — render text boxes, portraits, and choice buttons.
  • visual-novel, rpg — genres that compose this skill.

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 Dialogue Systems AI skill do?

Build branching dialogue and narrative — a node/choice graph with conditions, variables, and localization hooks — and choose between authoring tools Ink and Yarn Spinner or a custom data-driven runner. Engine-neutral. Use when the user mentions dialogue system, branching dialogue, conversation tree, choices, Ink (.ink), Yarn Spinner (.yarn), or NPC dialogue.

Why use Dialogue Systems on TypingMind?

Because you install it once and use it with any model. Dialogue 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 Dialogue 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/dialogue-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 Dialogue 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 Dialogue Systems?

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

Is the Dialogue 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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