Data Structure Selector Skill
SkillDev toolsSelect optimal data structure based on operation requirements
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 Data Structure Selector 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/data-structure-selector/SKILL.md and read by ahel’s review.
Purpose
Select the optimal data structure based on required operations, their frequencies, and time/space constraints.
Capabilities
- Analyze required operations (insert, delete, query, update)
- Match to optimal data structure
- Consider time/space trade-offs
- Suggest augmentations for custom requirements
- Compare alternatives with complexity analysis
Target Processes
- data-structure-implementation
- algorithm-implementation
- complexity-optimization
Selection Framework
Operation Analysis
- What operations are needed?
- What are the frequency/priority of each operation?
- What are the constraints (N, Q, time limit)?
- Is persistence needed?
- Are range operations required?
Common Selection Patterns
| Operations | Best Choice |
|---|---|
| Insert, Delete, Search | BST / Hash Map |
| Range sum, Point update | Fenwick Tree |
| Range query, Range update | Segment Tree + Lazy |
| Union, Find | DSU |
| Min/Max with add/remove | Multiset / Heap |
| Predecessor/Successor | Ordered Set / BST |
Input Schema
{
"type": "object",
"properties": {
"operations": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": { "type": "string" },
"frequency": { "type": "string" },
"constraints": { "type": "string" }
}
}
},
"constraints": { "type": "object" },
"preferences": { "type": "array" }
},
"required": ["operations"]
}
Output Schema
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"recommended": { "type": "string" },
"complexities": { "type": "object" },
"alternatives": { "type": "array" },
"augmentations": { "type": "array" },
"reasoning": { "type": "string" }
},
"required": ["success", "recommended"]
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
data-structure-selector- Source
- github.com/a5c-ai/babysitter