Identify cross-domain patterns across sales, revenue, deliverables, and content data.
npx skills add https://github.com/chriswestt/claude-skills --skill signal-scan-chriswestt
Please help me install this Agent Skill. Skill: signal-scan Source: https://github.com/chriswestt/claude-skills/tree/main/signal-scan Command: npx skills add https://github.com/chriswestt/claude-skills --skill signal-scan-chriswestt
Automates cross-domain pattern recognition across sales, revenue, content, and deliverables to surface non-obvious correlations, trends, and actionable insights. Patterns are stored in Supabase with confidence scoring and history, and findings are reported to stakeholders for rapid action.
Run the full signal scan end-to-end to pull data, analyze patterns, store results, and generate a findings report for your team.
High-intent search queries and answers about installing and using this skill.
Cross-domain pattern recognition ingests sales_calls, revenue, deliverables, and content_pipeline data to surface non-obvious correlations. The analysis scores each pattern, compares findings against historical scans, and stores results in Supabase with a detailed findings report.
Yes, Supabase stores pattern recognition results with confidence scoring and historical comparison data. The engine persists findings from each biweekly scan, enabling trend detection and historical benchmarking against previous cross-domain analysis runs.
Automated cross-domain analysis runs end-to-end on a biweekly schedule to pull data, score patterns, and generate alerts. It handles missing tables gracefully, ensures data integrity, and reports actionable insights and trend alerts directly to stakeholders.
Cross-domain pattern recognition handles missing tables gracefully to ensure data integrity. The engine continues processing available sales_calls, revenue, deliverables, and content_pipeline data while providing clear evidence for each detected pattern.
Run the full signal scan to pull data from connected sources, analyze cross-domain patterns, store results in Supabase, and generate a detailed findings report. The end-to-end process surfaces correlations and delivers actionable alerts for rapid team response.
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