Advanced Data Structures Library Skill
SkillDev toolsProvide implementations of advanced data structures
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Then ask your AI: use the Advanced Data Structures Library Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/algorithms-optimization/skills/advanced-ds-library/SKILL.md and read by ahel’s review.
Purpose
Provide implementations and guidance for advanced data structures commonly needed in competitive programming and complex algorithmic problems.
Capabilities
- Treaps, Splay trees, Link-cut trees
- Persistent data structures
- Wavelet trees
- Heavy-light decomposition
- Centroid decomposition
- Rope data structure
- Order statistics tree
Target Processes
- data-structure-implementation
- advanced-graph-algorithms
- cp-library-creation
Data Structure Catalog
Balanced BSTs
- Treap (randomized BST)
- Splay Tree (self-adjusting)
- AVL Tree
- Red-Black Tree
Tree Decomposition
- Heavy-Light Decomposition
- Centroid Decomposition
- Euler Tour Technique
Advanced Structures
- Link-Cut Trees (dynamic trees)
- Wavelet Tree (range queries)
- Persistent Segment Tree
- Rope (string with fast operations)
Input Schema
{
"type": "object",
"properties": {
"dataStructure": { "type": "string" },
"operations": { "type": "array" },
"language": {
"type": "string",
"enum": ["cpp", "python", "java"]
},
"includeTests": { "type": "boolean", "default": false }
},
"required": ["dataStructure"]
}
Output Schema
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"code": { "type": "string" },
"complexity": { "type": "object" },
"usage": { "type": "string" },
"applications": { "type": "array" }
},
"required": ["success"]
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
advanced-ds-library- Source
- github.com/a5c-ai/babysitter
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