Segment Tree Builder Skill

SkillDev tools

Generate customized segment tree implementations

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Segment Tree Builder 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/segment-tree-builder/SKILL.md and read by ahel’s review.

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

Basic: Point update, range query
Lazy Propagation: Range update, range query
Persistent: Version history preservation
2D Segment Tree: 2D range queries
Segment Tree Beats: Complex range updates (chmin, chmax)
Merge Sort Tree: Range order statistics

Input Schema

{
  "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

{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "code": { "type": "string" },
    "complexity": { "type": "object" },
    "usage": { "type": "string" }
  },
  "required": ["success", "code"]
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: segment-tree-builder
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter