Pywayne Data Structure for Openclaw

A specialized Python toolkit for managing hierarchical logic trees, union-find set operations, and seamless XML serialization.

wangyendt
v0.1.0
Feb 16, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install data-structure

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install data-structure using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Pywayne Data Structure?

Pywayne Data Structure is a powerful utility library designed for developers who need to manage complex logical conditions and disjoint-set data structures. As a versatile addition to Openclaw Skills, it simplifies the creation of decision trees and the implementation of union-find algorithms with path compression.

The library provides a structured way to handle XML files by mapping them directly to logical trees, making it easier to read, modify, and write configuration data or hierarchical models. Whether you are building complex decision engines or managing network connectivity, this skill provides the underlying data structures to do so efficiently.

Pywayne Data Structure Use Cases

  • Implementing complex decision tree logic for rule-based systems.
  • Managing element grouping and connectivity in networks or clusters using Union-Find.
  • Automating the reading and writing of XML configuration files into navigable tree structures.
  • Debugging logical flows by visualizing full paths from root to leaf nodes.

How Pywayne Data Structure Works

  1. Initialize the desired data structure, such as ConditionTree for logic or UnionFind for set operations.
  2. Define nodes using a standard dictionary format containing tags, attributes, and text content.
  3. Build hierarchical structures by appending nodes through specific paths or merge sets using the union-find logic.
  4. Use the XmlIO component to bridge in-memory tree structures with physical XML files on disk.
  5. Query or traverse the data using specialized search methods like find_by_path or rank-based union operations.

Pywayne Data Structure Setup

To integrate this utility into your development environment for Openclaw Skills, install the required package and import the components into your Python script.

pip install pywayne
from pywayne.data_structure import ConditionTree, UnionFind, XmlIO

Pywayne Data Structure Data Schema & Taxonomy

The skill organizes information into three primary formats depending on the module used:

Module Structure Details
ConditionTree Node Dictionary Uses {'tag': str, 'attrib': dict, 'text': str} for every node.
UnionFind Integer Array Tracks parent pointers and set sizes for efficient lookups.
XmlIO File Mapping Maps XML tags to ConditionTree nodes for I/O operations.

Paths are represented as lists of dictionaries or strings to facilitate deep tree traversal.

Pywayne Data Structure Advanced Features

  • Support for path compression and union-by-rank in the Union-Find implementation to ensure near-constant time operations.
  • Bidirectional XML synchronization that maintains data integrity when converting between file formats and logical trees.
  • Advanced path-based node insertion and searching for precise manipulation of nested decision logic.
  • Built-in path visualization tools to aid in auditing complex hierarchical data structures.

SKILL.md


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