project-review

Audits codebases and live apps to generate dependency-aware Linear tickets.

Updated Jul 31, 2026

Search Tags:#automation #audit #linear #quality-assurance #issue-tracking #product-management

Ready to run

npx skills add https://github.com/davidsolheim/skills --skill project-review-davidsolheim

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: project-review
Source: https://github.com/davidsolheim/skills/tree/main/project-review
Command: npx skills add https://github.com/davidsolheim/skills --skill project-review-davidsolheim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the discovery of product gaps, bugs, and inconsistencies by performing an exhaustive audit of your codebase and live application, eliminating the need for manual issue tracking.

Core Features & Use Cases

Agentic Discovery: Automatically walks your project routes, APIs, and UI components to invent solve-ready tickets.
Atomic Linear Queueing: Files clean, dependency-aware Linear issues that are ready for immediate implementation.
Flexible Modes: Choose between a high-signal Fast mode for quick quality passes or a Deep mode for exhaustive, multi-agent inventory coverage.

Quick Start

Run the project-review skill in deep mode to audit the entire application and generate a prioritized queue of Linear issues.

Frequently Asked Questions about project-review

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

FAQPage Schema

How do I automate quality assurance audits to find product bugs and UI inconsistencies?▼

Automated quality assurance audits use agentic discovery to scan your codebase and live application surfaces, identifying functional bugs and UI inconsistencies without manual intervention. This generates atomic, solve-ready Linear tickets with dependency mapping for immediate implementation.

Can I automatically generate Linear issue queues from my codebase?▼

Yes, you can automatically generate Linear issue queues by performing an exhaustive audit of your software project. The process walks your routes, APIs, and UI components to file clean, dependency-aware Linear issues that are ready for prioritized backlog management.

What's the best way to perform product discovery and find missing features in a live application?▼

Product discovery for missing features is best handled by running an exhaustive multi-agent inventory audit across live application surfaces. Deep mode provides exhaustive coverage to identify gaps and generate structured backlog tickets automatically.

Does automated issue tracking work for large codebases requiring deep audits?▼

Automated issue tracking supports large codebases through Deep mode, which performs exhaustive multi-agent inventory coverage. Fast mode is also available for quick quality passes when you need high-signal audits without exhaustive processing.

How do I create dependency-aware Linear tickets for backlog management?▼

Dependency-aware Linear tickets are created by auditing your software project to map relationships between identified bugs, UI inconsistencies, and missing features. This generates atomic, solve-ready issues structured for immediate implementation without manual issue tracking.