What file formats does this skill support?

This skill primarily supports JSON via jq, and both YAML and TOML via yq.

Can it handle Kubernetes manifests?

Yes, it includes specific patterns for querying and modifying Kubernetes manifests, including multi-document YAML files.

Can I convert data between formats?

Absolutely. It provides commands to convert TOML or YAML into JSON, allowing you to use jq's powerful filtering on any structured config.

Does it support in-place file modification?

Yes, the skill utilizes yq's in-place edit feature to update configuration files directly without manual copy-pasting.

Data Processing with jq & yq

Name: Data Processing with jq & yq
Author: 0xDarkMatter

by0xDarkMatter

Despliegue y DevOps

Manipulates and queries structured JSON, YAML, and TOML data using advanced jq and yq syntax.

Acerca de

This skill empowers Claude to efficiently handle structured data formats across various development contexts, from querying large API responses to modifying complex configuration files like Kubernetes manifests or GitHub Actions workflows. It provides a comprehensive library of patterns for filtering, transforming, and aggregating data, making it indispensable for DevOps tasks, dependency management, and automated data processing pipelines. Whether you need to extract specific fields from a package.json or perform complex merges on YAML overrides, this skill provides the precise command-line patterns required.

Características Principales

YAML and TOML manipulation for Docker, Kubernetes, and CI/CD files
Regex-based filtering and deep selection in complex nested objects
Data aggregation, including sums, averages, and unique value counts
Advanced JSON querying and transformation using jq syntax
In-place editing of configuration files and format conversion (TOML to JSON)
0 GitHub stars

Casos de Uso

Extracting specific versions and scripts from package.json or pyproject.toml
Auditing and updating container images in multi-document Kubernetes manifests
Filtering and formatting large API responses into CSV or TSV for reporting

Acerca de

Características Principales

YAML and TOML manipulation for Docker, Kubernetes, and CI/CD files
Regex-based filtering and deep selection in complex nested objects
Data aggregation, including sums, averages, and unique value counts
Advanced JSON querying and transformation using jq syntax
In-place editing of configuration files and format conversion (TOML to JSON)
0 GitHub stars

Casos de Uso

Extracting specific versions and scripts from package.json or pyproject.toml
Auditing and updating container images in multi-document Kubernetes manifests
Filtering and formatting large API responses into CSV or TSV for reporting