Dialogue Graph

OrganizationPopular

benchflow-ai

dialogue-graph

A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

Overview

Publisher	benchflow-ai
Repository	`skillsbench`
Skill name	`dialogue-graph`
Stars	1.8K
Forks	371
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

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 benchflow-ai on GitHub. Read the source before you install it.

Installation

Install the Dialogue Graph AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/benchflow-ai/skillsbench/tree/main/tasks/dialogue-parser/environment/skills/dialogue-graph
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/benchflow-ai/skillsbench/tree/main/tasks/dialogue-parser/environment/skills/dialogue-graph

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/benchflow-ai/skillsbench.git /tmp/skillsbench
mkdir -p .claude/skills
cp -r /tmp/skillsbench/tasks/dialogue-parser/environment/skills/dialogue-graph .claude/skills/dialogue-graph

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dialogue Graph 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 Graph 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 Graph 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 Graph Skill

This skill provides a dialogue_graph module to easily build valid dialogue trees/graphs.

When to use

Script Parsers: When converting text to data.
Dialogue Editors: When building tools to edit conversation flow.
Game Logic: When traversing a dialogue tree.
Visualization: When generating visual diagrams of dialogue flows.

How to use

Import the module:

python
from dialogue_graph import Graph, Node, Edge

1. The `Graph` Class

The main container.

python
graph = Graph()

2. Adding Nodes

Define content nodes.

python
# Regular line
graph.add_node(Node(id="Start", speaker="Guard", text="Halt!", type="line"))

# Choice hub
graph.add_node(Node(id="Choices", type="choice"))

3. Adding Edges

Connect nodes (transitions).

python
# Simple transition
graph.add_edge(Edge(source="Start", target="Choices"))

# Choice transition (with text)
graph.add_edge(Edge(source="Choices", target="End", text="1. Run away"))

4. Export

Serialize to JSON format for the engine.

python
data = graph.to_dict()
# returns {"nodes": [...], "edges": [...]}
json_str = graph.to_json()

5. Validation

Check for integrity.

python
errors = graph.validate()
# Returns list of strings, e.g., ["Edge 'Start'->'Unk' points to missing node 'Unk'"]

6. Visualization

Generate a PNG/SVG graph diagram.

python
# Requires: pip install graphviz
# Also requires Graphviz binary: https://graphviz.org/download/

graph.visualize('dialogue_graph')  # Creates dialogue_graph.png
graph.visualize('output', format='svg')  # Creates output.svg

The visualization includes:

Diamond shapes for choice nodes (light blue)
Rounded boxes for dialogue nodes (colored by speaker)
Bold blue edges for skill-check choices like [Lie], [Attack]
Gray edges for regular choices
Black edges for simple transitions

7. Loading from JSON

Load an existing dialogue graph.

python
# From file
graph = Graph.from_file('dialogue.json')

# From dict
graph = Graph.from_dict({'nodes': [...], 'edges': [...]})

# From JSON string
graph = Graph.from_json(json_string)

Bundled files

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

scripts/dialogue_graph.py6 KB

Frequently asked questions

What does the Dialogue Graph AI skill do?

A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

Why use Dialogue Graph on TypingMind?

Because you install it once and use it with any model. Dialogue Graph 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 Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benchflow-ai/skillsbench/tree/main/tasks/dialogue-parser/environment/skills/dialogue-graph. 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 Graph?

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 Graph?

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

Is the Dialogue Graph AI skill free?

Yes. It is published on GitHub by benchflow-ai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dialogue Graph Skill

When to use

How to use

1. The Graph Class

2. Adding Nodes

3. Adding Edges

4. Export

5. Validation

6. Visualization

7. Loading from JSON

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

1. The `Graph` Class