robotrace-course-cad-review

Audits Rocket.Chat code for correctness, efficiency, and consistency with the Rocket.Chat style and best practices.

7|2|Updated May 31, 2026
One-click install
npx skills add https://github.com/kyamashita5/robotrace_course_cad --skill robotrace-course-cad-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: robotrace-course-cad-review
Source: https://github.com/kyamashita5/robotrace_course_cad/tree/main/.agents/skills/robotrace-course-cad-review
Command: npx skills add https://github.com/kyamashita5/robotrace_course_cad --skill robotrace-course-cad-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, evidence-driven review process for the Robotrace Course CAD repository, ensuring that code changes, pull requests, and architectural updates maintain geometric correctness and system stability.

Core Features & Use Cases

  • Geometric Validation: Checks for numerical correctness in course design, including tangent-to-arc continuity and coordinate system consistency.
  • Regression Analysis: Audits changes against established synthetic references and domain-specific rules to prevent regressions in solver logic or JSON persistence.
  • Use Case: When submitting a pull request that modifies the course solver logic, use this skill to verify that the changes do not break existing course geometry, export functionality, or UI state synchronization.

Quick Start

Use the robotrace-course-cad-review skill to perform a comprehensive audit of the current branch and identify any potential regressions in the geometry solver.

Frequently Asked Questions about robotrace-course-cad-review

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

FAQPage Schema
How do I review CAD code changes for geometry solver regressions?

Review CAD code changes for geometry solver regressions by validating modifications against repository-defined specifications and regression test suites to ensure geometric correctness and system stability are maintained.

What is tangent-to-arc continuity validation in CAD course modeling?

Tangent-to-arc continuity validation in CAD course modeling checks for numerical correctness in course design, ensuring coordinate system consistency and geometric continuity across arc and line segments.

How do I audit a pull request that modifies Qt-based UI components and JSON persistence?

Audit a pull request modifying Qt-based UI components and JSON persistence by evaluating changes against domain-specific design rules to verify UI state synchronization and data persistence remain stable.

Does this code review process check export modules for course geometry correctness?

Yes, the code review process checks export modules for course geometry correctness by validating implementation against repository specifications to prevent regressions in export functionality and solver logic.

What's the best way to verify course solver logic does not break existing geometry?

The best way to verify course solver logic does not break existing geometry is running a comprehensive audit that compares changes against established synthetic references and domain-specific regression rules.

Can I use automated code review for Python CAD projects without external dependencies?

Yes, you can use automated code review for Python CAD projects without external dependencies, as this review process operates with no required dependencies to evaluate geometry solvers and export modules.