Best use case
segment-tree-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate customized segment tree implementations
Teams using segment-tree-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/segment-tree-builder/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How segment-tree-builder Compares
| Feature / Agent | segment-tree-builder | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate customized segment tree implementations
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Segment Tree Builder Skill
## Purpose
Generate customized segment tree implementations for various merge functions, with support for lazy propagation and advanced variants.
## Capabilities
- Generate segment tree for custom merge functions
- Lazy propagation template generation
- Persistent segment tree variants
- 2D segment tree generation
- Segment tree beats for complex updates
- Iterative vs recursive implementations
## Target Processes
- segment-tree-implementation
- range-query-optimization
- data-structure-implementation
## Segment Tree Variants
1. **Basic**: Point update, range query
2. **Lazy Propagation**: Range update, range query
3. **Persistent**: Version history preservation
4. **2D Segment Tree**: 2D range queries
5. **Segment Tree Beats**: Complex range updates (chmin, chmax)
6. **Merge Sort Tree**: Range order statistics
## Input Schema
```json
{
"type": "object",
"properties": {
"mergeFunction": { "type": "string" },
"identity": { "type": "string" },
"updateType": {
"type": "string",
"enum": ["point", "range", "both"]
},
"lazyPropagation": { "type": "boolean" },
"variant": {
"type": "string",
"enum": ["basic", "lazy", "persistent", "2d", "beats"]
},
"language": {
"type": "string",
"enum": ["cpp", "python", "java"]
},
"style": {
"type": "string",
"enum": ["recursive", "iterative"]
}
},
"required": ["mergeFunction", "identity"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"code": { "type": "string" },
"complexity": { "type": "object" },
"usage": { "type": "string" }
},
"required": ["success", "code"]
}
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