Synthesize website crawl data and evidence into strategic findings and executive reports.
npx skills add https://github.com/MB-uc/mercury --skill ms-findings
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
This skill automates the complex reasoning required to synthesize raw website crawl data into high-impact strategic findings, eliminating manual analysis bottlenecks for consultants.
Run the ms-findings skill to process the brief and crawl evidence for the current client engagement.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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