YAML Query & Extraction FAQs

Name: YAML Query & Extraction
Author: xdg

Question 1

When should I use this skill instead of a standard file read?

Accepted Answer

You should use this skill whenever you are dealing with large YAML files (typically over 50 lines) like Kubernetes manifests, Docker Compose files, or complex CI/CD workflows. If you only need to check a version number or a specific service port, extraction is much more efficient than reading the full file.

Question 2

What does the YAML Query & Extraction skill do?

Accepted Answer

This skill enables Claude to use the 'yq' tool to target and extract specific fields from YAML files. Instead of reading an entire configuration file, Claude can pinpoint exactly the data it needs, which dramatically reduces token consumption.

Question 3

How does this skill improve my AI development workflow?

Accepted Answer

By saving 80-95% of context usage, it prevents Claude's context window from becoming cluttered with irrelevant data. This allows for faster responses, lower costs, and better performance on complex tasks because Claude retains more 'room' for your actual code and logic.

Question 4

Can this skill be used for JSON files as well?

Accepted Answer

While this specific skill is optimized for YAML using 'yq', the same logic applies to JSON. For JSON files like package.json or tsconfig.json, Claude is encouraged to use 'jq' to achieve the same context-saving benefits.

Question 5

What capabilities does this skill provide for DevOps?

Accepted Answer

It provides advanced capabilities for querying nested structures, filtering complex configuration data, and transforming YAML output. It is specifically optimized for DevOps patterns involving GitHub Actions, Kubernetes, and container orchestration.

YAML Query & Extraction

YAML Query & Extraction

关于

主要功能

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关于

主要功能

使用场景