value-audit

Evaluate enterprise product demos for value credibility and narrative coherence.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/aliciapls/ML-Week-2---Healthcare --skill value-audit-aliciapls
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: value-audit
Source: https://github.com/aliciapls/ML-Week-2---Healthcare/tree/main/.claude/skills/24-value-audit
Command: npx skills add https://github.com/aliciapls/ML-Week-2---Healthcare --skill value-audit-aliciapls

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams judge whether a product demo is merely functional or actually convincing to skeptical enterprise buyers, catching empty pages, contradictory metrics, weak narratives, and dead-end flows before a live presentation.

Core Features & Use Cases

  • Buyer-Perspective Review: Evaluates pages the way a skeptical enterprise buyer would, focusing on purpose, proof, and business outcome.
  • Value-Flow Analysis: Traces end-to-end stories such as design → deploy → work → oversight to ensure features connect into a coherent demo narrative.
  • Demo Readiness QA: Uses pass/fail criteria to spot empty states, broken navigation, inconsistent metrics, and missing evidence in demo environments.
  • Use Case: A product team can run this Skill before a customer meeting to confirm the demo tells a credible transformation story and to identify the highest-impact fixes.

Quick Start

Ask the value-audit skill to review your demo environment for value credibility, trace the primary value flow, and return a readiness verdict with the most critical issues.

Frequently Asked Questions about value-audit

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

FAQPage Schema
How do I audit my enterprise product demo for buyer readiness before a presentation?

To audit enterprise product demo readiness, apply a five-question framework that traces value-flow, checks data credibility, and classifies pass or fail severity to identify broken narratives and empty states before a live presentation.

What is value-flow tracing and how does it evaluate demo narrative coherence?

Value-flow tracing evaluates demo narrative coherence by tracking end-to-end user journeys like design to oversight, ensuring individual features connect into a credible transformation story for skeptical enterprise buyers.

How do I check my demo environment for data credibility and missing evidence?

Check demo environment data credibility by running cross-page QA to spot inconsistent metrics, empty states, and dead-end flows, applying severity-based pass or fail criteria to flag missing proof points.

Can I use this value audit approach for skeptical buyer walkthroughs of AI product experiences?

Yes, value audit applies to skeptical buyer walkthroughs of AI product experiences by evaluating pages from a buyer perspective, focusing on purpose, proof, and business outcome to confirm narrative coherence.

What is the best way to identify the highest-impact fixes in an enterprise demo environment?

Identify the highest-impact enterprise demo fixes by running a value-flow analysis that returns a readiness verdict, prioritizing contradictory metrics and broken navigation that fail severity-based pass or fail criteria.

When should I run a cross-page QA audit on my demo environment?

Run cross-page QA audits on demo environments before customer meetings to confirm buyer-ready value stories, catching empty pages, weak narratives, and dead-end flows that would undermine a live presentation.