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XiongJingzhi
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multiline-description

Normalize multiline YAML descriptions into a single line.

Updated Feb 18, 2026
Search Tags:#testing#yaml#metadata#normalization#description
One-click install
npx skills add https://github.com/XiongJingzhi/agent-learn --skill multiline-description
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multiline-description
Source: https://github.com/XiongJingzhi/agent-learn/tree/main/app/pi-mono/packages/coding-agent/test/fixtures/skills/multiline-description
Command: npx skills add https://github.com/XiongJingzhi/agent-learn --skill multiline-description

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of handling and normalizing descriptions that span multiple lines within YAML frontmatter, ensuring consistent data processing.

Core Features & Use Cases

  • Description Normalization: Processes and standardizes multiline YAML descriptions into a single, manageable line.
  • Testing Utility: Primarily used for testing the robustness of description parsing in AI systems.

Quick Start

Use the multiline-description skill to process a skill with a multiline YAML description.

Frequently Asked Questions about multiline-description

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

FAQPage Schema
How do I normalize multiline YAML descriptions into a single line for data processing?▼

To normalize multiline YAML descriptions, you need robust YAML parsing capabilities to correctly interpret and flatten multi-line string values into a single, manageable line. This ensures consistent data handling for AI skill metadata.

What is multiline description normalization used for in AI systems?▼

Multiline description normalization processes and standardizes descriptions spanning multiple lines within YAML frontmatter. It is primarily used for testing the robustness of description parsing in AI systems to ensure consistent metadata processing.

When do I need to flatten multi-line string values in YAML metadata?▼

You need to flatten multi-line string values in YAML metadata when handling AI skill descriptions that span multiple lines. Flattening these values addresses the challenge of inconsistent data processing and ensures manageable single-line outputs.

Can I use this approach to test description parsing robustness in AI skill metadata?▼

Yes, you can use this normalization approach to test description parsing robustness in AI skill metadata. It processes skills with multiline YAML descriptions to verify that AI systems correctly interpret and flatten multi-line string values.

Does normalizing YAML descriptions require specific parsing capabilities for frontmatter?▼

Yes, normalizing YAML descriptions requires robust YAML parsing capabilities to correctly interpret frontmatter. This ensures the system accurately processes and standardizes multiline string values into a single line without data loss.

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