What is the 'compare' scope in Product Analysis?

The compare scope allows you to perform a self-audit alongside competitive benchmarking by invoking the competitors-analysis skill to identify feature gaps and market positioning.

Can this skill analyze non-JavaScript projects?

Yes, it auto-detects project types including Python, Rust, and Go by checking for files like pyproject.toml or Cargo.toml to tailor its agent prompts accordingly.

What kind of reports does this skill generate?

It produces a structured markdown report featuring an executive summary, quantified metrics (like clickable element counts), and prioritized issues categorized from P0 (Critical) to P2 (Low Priority).

Do I need Codex CLI installed to use this skill?

No, the skill automatically detects Codex CLI. If it is found, it uses it for cross-model validation; if not, it proceeds seamlessly using Claude Code agents alone.

How many agents are launched during a 'full' analysis?

A full scope analysis typically spawns 5 Claude Code agents in the background plus 2-3 Codex CLI agents if available, ensuring a diverse range of analytical perspectives.

Product Analysis & UX Audit

Name: Product Analysis & UX Audit
Author: LuodashiV5

byLuodashiV5

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Herramientas de Diseño

Conducts multi-perspective product audits using parallel AI agents to optimize UX, API design, and system architecture.

The Product Analysis skill leverages cross-model test-time compute scaling to perform deep-dive analyses of your software from multiple technical and user-centric viewpoints. By spawning parallel Claude Code agents and optionally integrating Codex CLI, it systematically explores frontend navigation, information density, backend API health, and architectural integrity. Whether you are performing a pre-launch review or a competitive benchmark, this skill synthesizes findings into a prioritized, actionable report with quantified metrics to guide your optimization roadmap.

Características Principales

01Parallel Agent Exploration: Spawns 3-5 background agents simultaneously to audit different product dimensions.

02Cross-Model Compute Scaling: Integrates Codex CLI for high-reasoning, multi-model verification of findings.

03API & Architectural Health: Maps dependency graphs and identifies unused endpoints or code duplication.

04Competitive Benchmarking: Invokes specialized logic to compare internal code against competitors' implementations.

05Automated UX Benchmarking: Quantifies interactive elements, entry point duplication, and onboarding friction.

061 GitHub stars

Casos de Uso

01Pre-launch product audits to identify UX bloat and critical navigation bottlenecks before users see them.

02Technical debt reviews to find unused API endpoints and architectural circular dependencies.

03Automated Information Architecture (IA) audits for complex web applications to reduce cognitive load.

Características Principales

01Parallel Agent Exploration: Spawns 3-5 background agents simultaneously to audit different product dimensions.

02Cross-Model Compute Scaling: Integrates Codex CLI for high-reasoning, multi-model verification of findings.

03API & Architectural Health: Maps dependency graphs and identifies unused endpoints or code duplication.

04Competitive Benchmarking: Invokes specialized logic to compare internal code against competitors' implementations.

05Automated UX Benchmarking: Quantifies interactive elements, entry point duplication, and onboarding friction.

061 GitHub stars

Casos de Uso

01Pre-launch product audits to identify UX bloat and critical navigation bottlenecks before users see them.

02Technical debt reviews to find unused API endpoints and architectural circular dependencies.

03Automated Information Architecture (IA) audits for complex web applications to reduce cognitive load.