Render ASCII Dependency Graphs: AI Agent Skill for Coders

Render ASCII Dependency Graphs: AI Agent Skill for Coders

This skill enables developers to render ASCII dependency graphs from a structured JSON format, using a specific Python script. It is a utility designed to assist developers in visualising module dependencies textually within a coding environment, compatible with AI coding agents like Claude Code, Cursor, and Codex.

What this skill does

• Construct a JSON object that details the dependency tree of software modules.
• Each node in the JSON should include:
  • "name": the module or dependency name (mandatory)
  • "right": an optional single node connected horizontally
  • "bottom": an optional array of child nodes connected vertically
  • Insert an 'ellipsis' continuation marker using {"ellipsis": true} in a bottom array.
• Save the JSON object as a temporary file in the working directory.
• Run the rendering script using Python to generate the ASCII graph.
• Copy the generated ASCII output to a target markdown file within a fenced code block.
• Remove the temporary JSON file once the process is complete.

Who it is for

This skill is suited for developers and development teams working with AI coding agents who require a method to visualise software dependencies. It is particularly useful for those involved in code maintenance, documentation, and software architecture planning.

Use cases

• Visualising complex software dependencies during development to aid in architectural decisions.
• Including visually structured module dependencies in project documentation for better understanding by team members.
• Utilising ASCII graphs in educational materials or presentations to illustrate dependency relationships in a clear, textual manner.

Technical details

• Utilises Python script with a specific command line execution compatible with macOS, Linux, and Windows.
• Requires a structured JSON object input to define module dependencies.
• The output is an ASCII-based graphical representation of the dependencies.
• Compatible with AI coding environments such as Claude Code, Cursor, and Codex.

Source & Licence

This package is built on open-source work published by rohingosling (rohingosling/claude-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.