Analyze cross-domain sales, revenue, content, and deliverables for hidden correlations.
npx skills add https://github.com/scanbott/claude-skills --skill signal-scan-scanbott
Please help me install this Agent Skill. Skill: signal-scan Source: https://github.com/scanbott/claude-skills/tree/main/signal-scan Command: npx skills add https://github.com/scanbott/claude-skills --skill signal-scan-scanbott
Biweekly cross-domain pattern recognition engine that analyzes sales calls, revenue, content, and deliverables to find non-obvious correlations, trending shifts, and actionable insights. Stores patterns in Supabase with confidence scoring and compounding history, and reports findings to stakeholders.
Run the full end-to-end signal-scan workflow to pull data, analyze patterns, and store results.
High-intent search queries and answers about installing and using this skill.
Cross-domain pattern detection analyzes sales, revenue, content, and deliverables to surface hidden correlations. It applies biweekly intelligence sweeps to extract signals, score them, and store findings for reporting to stakeholders.
Automate biweekly intelligence sweeps by pulling data from multiple sources, performing cross-domain analysis, and upserting pattern records in Supabase. This generates an actionable report and notifications for stakeholders.
Yes, this pattern recognition workflow requires Supabase to store patterns with confidence scoring and compounding history. Persistent storage enables historical trend analysis and structured reporting for stakeholders.
Yes, you can extract actionable insights by correlating sales calls, revenue, content pipelines, and deliverables. The analysis surfaces non-obvious correlations and trending shifts to produce a structured report.
The best way to surface hidden revenue correlations is running an end-to-end workflow that pulls data from multiple sources, applies pattern scoring, and upserts findings into Supabase. This extracts signals and generates notifications.
You should run cross-domain analysis on a biweekly schedule to catch trending shifts and non-obvious correlations in sales data. This intelligence sweep cadence ensures compounding history and timely stakeholder reporting.
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