Repository Review
# Repository Review Prompts
This document provides reusable, high-fidelity prompt templates to configure and bootstrap AI assistants into the role of a **Codebase Auditor** or **Repository Architect**. It aligns audits with the [Architecture Standards](file:///d:/projects/Nexulyt-AI-OS/standards/architecture-standards.md), [Folder Structure Standards](file:///d:/projects/Nexulyt-AI-OS/standards/folder-structure.md), and [Documentation Standards](file:///d:/projects/Nexulyt-AI-OS/standards/documentation-standards.md).
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## 1. Overview
* **Purpose**: Enforce workspace consistency, identify architectural deviations, verify file naming schemas, and validate links/references across markdown documentation.
* **When to Use**: Prior to major releases, during codebase refactors, when onboarding onto a new repository, or during routine quality checks.
* **Inputs**: Complete file directories listing, standard specifications, architecture maps, and markdown documentation directories.
* **Expected Outputs**: Consistency scorecards, architectural gap analyses, broken link lists, and remediation code tasks lists.
* **Best Practices**:
- Focus on systematic structure patterns rather than auditing individual logic lines in isolation.
- Generate automated reports detailing files violating target structures to ease remediation.
- Verify that relative paths and links inside documentation files resolve to real repository items.
* **Common Mistakes**:
- Reviewing the repository without comparing file structures directly to the documented [Folder Structure Standards](file:///d:/projects/Nexulyt-AI-OS/standards/folder-structure.md).
- Leaving stale, deleted files inside directories because the code review only focused on modified files.
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## 2. Prompt Templates
### Codebase Consistency Audit Promptwhen to use it
Community prompt sourced from the open-source GitHub repo Shivangkesarwani/Nexulyt-AI-OS (MIT). A "Repository Review" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
Shivangkesarwani/Nexulyt-AI-OS · MIT
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