Analyze sales performance using StarRocks data and Megaview conversation evidence.
npx skills add https://github.com/zhangdszq/vk-skills --skill megaview-openapi
Please help me install this Agent Skill. Skill: megaview-openapi Source: https://github.com/zhangdszq/vk-skills/tree/main/megaview-openapi Command: npx skills add https://github.com/zhangdszq/vk-skills --skill megaview-openapi
This skill enables sales analytics by anchoring results in the intl_analysis StarRocks database and enriching them with Megaview conversation evidence.
Streamline analytics by starting from the intl_analysis growth chain and enriching results with Megaview conversation evidence to drive coaching and performance review decisions.
High-intent search queries and answers about installing and using this skill.
To combine StarRocks sales data with conversation evidence for coaching, this skill anchors analytics in the intl_analysis database and enriches results with Megaview conversation-level context. It outputs training samples and coaching materials.
Analyzing Saudi leads-to-order conversion rates is done by querying the intl_analysis StarRocks database to trace the growth chain from channels and LPs to trial completion and post-trial follow-up, enriched by Megaview conversation context.
Generating sales coaching materials from conversation recordings uses Megaview to extract representative conversation samples, including score results, summaries, and ASR previews, anchored by StarRocks sales performance data.
Comparing seller performance with StarRocks and Megaview is supported by diagnosing sales results from the intl_analysis database and explaining seller quality differences using bundled Megaview conversation-level evidence.
Specific employee identity inputs are required for sales performance diagnosis, using the bundled employees.json file for mapping alongside a specified time range to query the StarRocks database and retrieve Megaview conversation context.
Limitations when enriching StarRocks analytics with Megaview conversations include dependency on the intl_analysis database configuration and employees.json mapping file, requiring valid time range and employee identity inputs to function correctly.
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