effect-collections-datastructs
✓Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
Installation
SKILL.md
The full Effect source code is available at docs/effect-source/. Always search the actual implementation before writing Effect code.
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines. Source: mepuka/effect-ontology.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mepuka/effect-ontology --skill effect-collections-datastructs Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/mepuka/effect-ontology --skill effect-collections-datastructs- Source
- mepuka/effect-ontology
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is effect-collections-datastructs?
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines. Source: mepuka/effect-ontology.
How do I install effect-collections-datastructs?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mepuka/effect-ontology --skill effect-collections-datastructs Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/mepuka/effect-ontology
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01