Artificial intelligence library for prompting - not production-ready.

Rubocop style guide for Articulate Growth Engineering

See summary.

2 semantic methods to test the presence of objects.

utility functions for ActiveRecord.

This gem lets a program interact with a Cisco ASA using CLI commands. It includes a minimal set of functions for issuing commands and parsing the results.

asa_json is a library for conveniently JSON.

asciidoctor-csand lets you write CSA Normal Documents (CSAND) in AsciiDoc syntax. This gem is in active development.

asciidoctor-csd lets you write CSD in AsciiDoc syntax. This gem is in active development.

Converts AsciiDoc documents to FB2 e-book formats

asciidoctor-gb lets you write GB standards (Chinese national standards) in AsciiDoc syntax. This gem is in active development.

asciidoctor-m3d lets you write M3AAWG Documents (M3D) in AsciiDoc syntax. This gem is in active development.

asciidoctor-rsd lets you write RSD in AsciiDoc syntax. This gem is in active development.

Compile templates-based Asciidoctor converter (backend) into a single Ruby file

Convert Asciimath via MathML to UnitsML

AsciiPngfy is a Ruby Gem that enables you to render ASCII text into a PNG image up to a resolution of 3840(width) by 2160(height) using a 5x9 monospaced font. Configurable settings that influence the result are font-color, background-color, font-height, horizontal-spacing, vertical-spacing, and text. The result includes the PNG containing the intended image with all the settings applied, a snapshot of the settings used, and render dimensions that define the size the generated png should be rendered at to reflect the font-height settings. The generated png is always the lowest possible resolution. Each monospaced character takes up a 5(width) by 9(height) space to take advantage of scaled rendering and avoid unnecessarily large images. For the best visual results, the resulting png should be rendered in the original dimensions or the render dimensions along with a NEAREST filter.

Tools for publishing a set of ASCIIdoc files to WordPress

Parses a usable tree from ASCII art.

ASCM reads ENV varaibles into a class, providing methods to ensure a setting is available, and mapping variables using Lambdas. The result is a clean, comprehensive configuration file that may be documented as desired, allowing other developers to quickly inspect and understand existing parameters and quickly adding new ones.

Simple command to discover what should be in ASDF's .tool-versions file