CModel Tree Analyzer

Name: CModel Tree Analyzer
Availability: InStock
Author: doghelwang

Parse 312-series robot JSON models into structured Markdown tree reports.

Updated Mar 8, 2026

Search Tags:#markdown #json #robotics #model-analysis #cmodel #tree-report

Ready to run

npx skills add https://github.com/doghelWang/amr_studio_v4 --skill cmodel-tree-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: CModel Tree Analyzer
Source: https://github.com/doghelWang/amr_studio_v4/tree/main/src/backend/skills/model_tree_analyzer
Command: npx skills add https://github.com/doghelWang/amr_studio_v4 --skill cmodel-tree-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Analyzes serialized 312-series robot JSON models and converts them into a structured, human-readable Markdown tree report.

Core Features & Use Cases

Deeply parse Identity, Attributes, Interfaces, and Relations from complex JSON structures.
Generate a navigable Markdown document that clearly reflects chassis, wheel groups, sensors, and other subsystems.
Use cases include model auditing, documentation, and quick-reference exploration for robotics engineers.

Quick Start

Install Python, then run the provided script on your decoded JSON model file to produce a Markdown report.

Frequently Asked Questions about CModel Tree Analyzer

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

FAQPage Schema

How do I convert a 312-series robot JSON model into a readable Markdown tree?▼

The parser deeply analyzes Identity, Attributes, Interfaces, and Relations within chassis, wheel groups, and sensors, generating a navigable Markdown document that clearly reflects these subsystems.

How do I parse Identity and Attributes from complex robotics JSON structures?▼

The script hierarchically parses chassis, wheel groups, and sensors, ensuring tolerant handling of missing fields while producing clear headings for quick-reference exploration.

Does the robot model JSON parser handle missing fields in the serialized data?▼

This allows robotics engineers to perform model auditing and documentation even when the 312-series JSON structures have incomplete or missing subsystem definitions.

Can I use Python scripts to generate documentation for 312-series robot subsystems?▼

This process requires a Python environment to run the script, which parses interfaces and relations across chassis and sensors to produce clear hierarchical headings.

What is the best way to audit a 312-series robot JSON model for subsystem relationships?▼

Using the Python parser allows you to deeply analyze hierarchical data for chassis, wheel groups, and sensors, providing a navigable document for quick-reference exploration.