design_patterns-sequence_iteration

Coordinate lazy sequences with error-aware iteration in Go.

2|Updated Jun 26, 2025
One-click install
npx skills add https://github.com/amarbel-llc/dodder --skill design-patterns-sequence-iteration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design_patterns-sequence_iteration
Source: https://github.com/amarbel-llc/dodder/tree/main/.claude/skills/design_patterns-sequence_iteration
Command: npx skills add https://github.com/amarbel-llc/dodder --skill design-patterns-sequence-iteration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sequencing data with potential errors and asynchronous sources can become complex; this Skill provides a structured approach to building and consuming lazy sequences with integrated error handling in Go.

Core Features & Use Cases

  • Lazy sequence generation with Seq/SeqError wrappers for safe streaming.
  • Combinators including Chain, Multiplex, and MergeSeqErrorLeft for flexible pipelines.
  • Interoperability with quiter and quiter_seq for parallel processing and aggregation.

Quick Start

Initialize a SeqError from a collection and iterate while handling values and errors.

Frequently Asked Questions about design_patterns-sequence_iteration

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

FAQPage Schema
How do I handle errors in lazy sequences when streaming data in Go?

Handling errors in lazy sequences requires wrapping streams in a SeqError type to separate values from errors during iteration. This allows safe consumption of streaming data while surfacing partial failures across modules.

What is the best way to chain transformations across multiple Go data streams?

The best way to chain transformations is using combinators like Chain and Multiplex to coordinate lazy sequences. This approach builds flexible streaming pipelines that process data sequentially across modules.

Can I process streaming pipelines with partial failures without stopping the entire sequence?

Yes, processing streaming pipelines with partial failures is possible using error-aware iteration. The MergeSeqErrorLeft combinator merges sequence errors while allowing valid values to continue flowing through the pipeline.

How do I integrate quiter with lazy sequences for parallel processing?

Integrating quiter with lazy sequences uses the quiter_seq interoperability layer to connect Seq types. This enables parallel processing and aggregation of streaming data within Go pipelines.

When do I need SeqError wrappers for Go iteration?

SeqError wrappers are needed when consuming asynchronous sources that may produce partial failures during iteration. They provide a structured approach to isolate errors from valid values in lazy sequence generation.

How do I multiplex multiple Go sequences into a single stream?

Multiplexing multiple sequences into a single stream uses the Multiplex combinator to coordinate lazy sequences. This merges concurrent data sources while maintaining error-aware iteration across the combined output.