ms-findings

Name: ms-findings
Availability: InStock
Author: mb-uc

Synthesize website crawl data and evidence into strategic findings and executive reports.

1|Updated Mar 4, 2026

Search Tags:#audit #analysis #benchmarking #strategy #synthesis #consulting

Ready to run

npx skills add https://github.com/MB-uc/mercury --skill ms-findings

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ms-findings
Source: https://github.com/MB-uc/mercury/tree/main/mercury/skills/ms-findings
Command: npx skills add https://github.com/MB-uc/mercury --skill ms-findings

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the complex reasoning required to synthesize raw website crawl data into high-impact strategic findings, eliminating manual analysis bottlenecks for consultants.

Core Features & Use Cases

Archetype Matching: Evaluates site content against 13 proprietary archetypes to identify structural patterns.
Audience Journey Assessment: Determines if critical audience tiers are served, underserved, or absent based on navigation and content signals.
Strategic Synthesis: Elevates evidence-backed observations into executive-level implications and commercial signals.

Quick Start

Run the ms-findings skill to process the brief and crawl evidence for the current client engagement.

Frequently Asked Questions about ms-findings

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

FAQPage Schema

How do I synthesize raw website crawl data into strategic audit findings?▼

You can synthesize raw website crawl data into strategic findings by applying archetype matching, audience journey assessment, and peer calibration to elevate evidence-backed observations into executive-level implications.

What is website archetype matching in competitive landscape analysis?▼

Website archetype matching in competitive landscape analysis is evaluating site content against proprietary structural archetypes to identify patterns and determine if critical audience tiers are served, underserved, or absent.

How do I turn evidence-backed observations into executive-level implications?▼

Turn evidence-backed observations into executive-level implications by running strategic synthesis on pre-loaded evidence manifests to evaluate commercial signals and classify audience journey gaps without further tool calls.

Do I need pre-loaded evidence manifests to perform audience tier classification?▼

Yes, you need pre-loaded evidence manifests to perform audience tier classification, as the synthesis requires pre-loaded crawl data and brief evidence to evaluate navigation signals and determine tier coverage.

Can I use this approach for corporate website audits and audience journey optimization?▼

Yes, you can use this strategic synthesis approach for corporate website audits, competitive landscape analysis, and audience journey optimization tasks to automate complex reasoning and eliminate manual analysis bottlenecks.

What are the limitations of automating website audit synthesis without further tool calls?▼

The limitation of automating website audit synthesis is that it requires pre-loaded evidence manifests to function, meaning it cannot dynamically fetch new crawl data or perform external tool calls during the archetype matching process.