ride

Analyze a codebase to generate evidence-grounded PRD, SDD, and hygiene reports.

3|Updated Nov 25, 2025
One-click install
npx skills add https://github.com/AITOBIAS04/Echelon --skill ride-aitobias04
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ride
Source: https://github.com/AITOBIAS04/Echelon/tree/main/.claude/skills/riding-codebase
Command: npx skills add https://github.com/AITOBIAS04/Echelon --skill ride-aitobias04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze an existing codebase to generate evidence-grounded Loa artifacts that reflect actual code behavior and architecture, enabling safer migrations, governance, and maintenance.

Core Features & Use Cases

  • Drift analysis: compare code reality with legacy documentation and user context to surface alignment and gaps.
  • Artifact generation: produce PRD, SDD, hygiene reports, and trajectory audits grounded in code evidence.
  • Governance & maintenance: support code reviews, onboarding, and long-term handoff with traceable claims.

Quick Start

Provide the target repository path and run /ride to start the codebase analysis.

Frequently Asked Questions about ride

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

FAQPage Schema
How do I generate evidence-grounded documentation from an existing codebase?

To generate evidence-grounded documentation from an existing codebase, you provide the target repository path to initiate a codebase analysis. This produces grimoire artifacts like PRDs and SDDs that reflect actual code behavior and architecture.

What is code drift analysis and when do I need it for maintenance?

Code drift analysis compares actual codebase behavior against legacy documentation and user context to surface alignment gaps. This reveals where your existing documentation fails to match real code execution, ensuring safer migrations and governance.

Can I produce grounded PRD and SDD artifacts directly from source code?

Yes, you can produce grounded PRD and SDD artifacts directly from source code by analyzing the repository. The generated documents satisfy criteria for grounded PRD and SDD creation by using real code evidence as the foundation for traceable claims.

What's the best way to automate trajectory self-audits for code governance?

The best way to automate trajectory self-audits for code governance is to analyze the repository to generate hygiene reports and trajectory audits grounded in code evidence. This supports long-term handoff and code reviews with traceable claims.

Does three-way drift verification work without external dependencies?

Yes, three-way drift verification works without external dependencies because the analysis runs directly on the target codebase path. It verifies alignment between code reality, legacy documentation, and user context natively.

When should I not use reality extraction for onboarding?

You should not use reality extraction for onboarding if your codebase lacks a valid local repository path for analysis. The tool requires direct repository access to generate grounded artifacts and compare code behavior against documentation.