general-ABA-keyword-monitor

Amazon ABA keyword monitoring is automated by configuring a category-driven setup that triggers AI dictionary generation, keyword classification, and tiering. This Skill handles cross-category discovery from AMZ123 hot lists and delivers weekly updates directly to a Feishu dashboard.

ABA keyword tiering classifies explosive search terms into Tier 1-3 categories based on performance metrics from hot lists. It uses AI-driven dictionary generation to automatically group and prioritize Amazon ABA keywords, triggering tier-based alerts for high-priority terms.

Yes, you need a Sorftime MCP API key to enrich Amazon ABA keyword data. The Skill requires Sorftime integration to perform deeper data analysis and enrichment on classified keywords before reporting to Feishu.

Yes, you can use Feishu multi-dimensional tables for weekly ABA keyword accumulation. The Skill integrates with Feishu lark-cli to automatically populate dashboards and multi-dimensional tables with accumulated weekly data.

Yes, ABA keyword monitoring works across any Amazon product category. The Skill uses a category-driven configuration to automate discovery and monitoring of explosive keywords from AMZ123 hot lists regardless of the specific niche.

Python 3.8 or higher is required for Amazon ABA keyword automation with Feishu. The Skill needs Python 3.8+, a Sorftime MCP API key, and Feishu lark-cli to drive end-to-end data collection, analysis, and reporting.