| Crates.io | capability-core-string-skeleton |
| lib.rs | capability-core-string-skeleton |
| version | 0.1.0 |
| created_at | 2025-07-13 12:08:23.596612+00 |
| updated_at | 2025-07-13 12:08:23.596612+00 |
| description | A Rust crate providing a framework to generate and manipulate skill tree skeletons using string-based node representations. It aggregates dispatch and leaf holder nodes into scalable domain models. |
| homepage | |
| repository | |
| max_upload_size | |
| id | 1750442 |
| size | 201,894 |
capability-core-string-skeleton is a Rust crate designed for advanced manipulation and construction of domain models using string representations within a skill tree architecture. This library emphasizes the generation and manipulation of various node structures within a model tree, forming the backbone of scalable, composite domains.
This crate is ideal for use within systems that need to construct sophisticated hierarchical representations using a string-based skeleton model. By leveraging the concept of a skill tree, it allows intricate branching models to be constructed with varied node types.
CoreStringSkeleton: The central structure representing the entire skill tree skeleton with nodes including dispatch, aggregate, and leaf holder types.
CoreSkeletalAggregateNode: Represents a composite node aggregating multiple child specifications, utilizing descriptors for identity.
CoreSkeletalDispatchNode: Similar to the aggregate node, this node focuses on branching decisions, utilizing child vectors.
CoreSkeletalLeafHolderNode: Maintains leaf data crucial for node representation, expanding node units based on domain knowledge.
The expanded leaf structures are chosen based on domain-specific knowledge, ensuring high-quality, meaningful leaf names suited for diverse applications, such as potion effects or character abilities.
Nodes and structures in this crate support full serialization and deserialization, making them useful for storage and reconstruction within databases or file systems.
Expand your domain model by populating leaves with specific identifiers and ensuring that your tree is accurately represented with nodes connecting logical sub-trees and components. Use the fuzzy_from_json_value method for flexible deserialization of CoreStringSkeleton structures from JSON inputs.
This README was generated by an AI model. While every effort has been made to ensure accuracy, please reference the source code for precise and up-to-date information.
This project is licensed under the GPL-3.0 License - see the LICENSE file for details.