Redact text from PDF documents for blind review anonymization
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026
FreePublished on GitHub
dialogue-graph
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
The English summary is being prepared. Showing the original description.
See how to installFiles included (2)
- SKILL.md2.3 KB
- scripts/dialogue_graph.py5.6 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
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:
from dialogue_graph import Graph, Node, Edge
1. The Graph Class
The main container.
graph = Graph()
2. Adding Nodes
Define content nodes.
# 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).
# 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.
data = graph.to_dict()
# returns {"nodes": [...], "edges": [...]}
json_str = graph.to_json()
5. Validation
Check for integrity.
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.
# 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.
# 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)
Reviews
No reviews yet. Tell others what you thought.
Comments
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
More skills from this repository
csv-processing
FreeUse this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026
dc-power-flow
FreeDC power flow analysis for power systems. Use when computing power flows using DC approximation, building susceptance matrices, calculating line flows and loading percentages, or performing sensitivity analysis on transmission networks.
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026
docx
FreeUse this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026
Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026
Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.
The English summary is being prepared. Showing the original description.
agentscope-ai/PawBench119Updated Aug 3, 2026