mesh-collections

Provide List, Map, Set, Range, and Queue APIs with lazy Iter pipelines in Mesh.

2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/snowdamiz/mesh-lang --skill mesh-collections
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mesh-collections
Source: https://github.com/snowdamiz/mesh-lang/tree/main/tools/skill/mesh/skills/collections
Command: npx skills add https://github.com/snowdamiz/mesh-lang --skill mesh-collections

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides efficient and idiomatic ways to manage collections of data and perform transformations within the Mesh programming language.

Core Features & Use Cases

  • Data Structures: Offers robust implementations for Lists, Maps, Sets, Ranges, and Queues.
  • Functional Transformations: Enables powerful data manipulation through lazy Iter pipelines for mapping, filtering, and reducing collections.
  • Use Case: Process a list of user IDs, filter out invalid ones, and then transform the valid IDs into a new list of user objects.

Quick Start

Use the mesh-collections skill to create a list of numbers from 1 to 10 and then filter out the even numbers.

Frequently Asked Questions about mesh-collections

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage collections and perform data transformations in the Mesh language?

You can manage collections in the Mesh language by using APIs for common data structures like List, Map, Set, Range, and Queue. It facilitates functional data transformations using lazy iterators and the pipe operator for efficient collection processing.

How do I filter and map a list of data functionally in Mesh?

To filter and map a list of data functionally in Mesh, use the lazy Iter pipelines and the pipe operator. This enables efficient mapping, filtering, and reducing operations on collections without modifying the original data structures.

What data structures are available for collection manipulation in Mesh?

The data structures available for collection manipulation in Mesh include robust implementations for Lists, Maps, Sets, Ranges, and Queues. These provide efficient collection manipulation and processing for various programming tasks.

Does Mesh support lazy iterators for processing collections?

Yes, Mesh supports lazy iterators for processing collections. The Skill provides functional data transformation capabilities through lazy Iter pipelines, allowing delayed execution for mapping and filtering until the final result is needed.

What is the best way to filter out even numbers from a range in Mesh?

The best way to filter out even numbers from a range in Mesh is to use the mesh-collections skill. Create a list of numbers from 1 to 10 and apply a filter using the lazy iterator pipeline to remove the even numbers.