Detect user queries about "bang may" topics using Python scripts.
npx skills add https://github.com/Paparusi/jarvis --skill bang-may
Please help me install this Agent Skill. Skill: bang-may Source: https://github.com/Paparusi/jarvis/tree/main/workspace/skills/auto/bang-may Command: npx skills add https://github.com/Paparusi/jarvis --skill bang-may
This Skill automatically detects and responds to user queries related to "bang may" or similar topics based on past successful interactions.
Ask the skill a simple math question like "1+1 bằng mấy?".
High-intent search queries and answers about installing and using this skill.
Automated topic detection works by analyzing past successful interactions to identify user intent for specific subjects. This mechanism triggers when users inquire about topics related to the learned patterns, providing relevant answers based on historical context.
Yes, you can trigger automated answering for simple math queries by asking questions naturally. The system detects the math intent and provides correct answers, specifically supporting Vietnamese queries like '1+1 bằng mấy?'.
Yes, automated question answering works without external dependencies. It utilizes built-in Python scripts for execution and analysis, requiring no additional libraries or frameworks to detect queries and provide responses.
The best way to detect similar user queries automatically is by analyzing past interactions to establish patterns. This approach identifies user intent for specific subjects and triggers contextual responses based on learned similarities.
Automated detection requires five similar interactions to establish a reliable pattern threshold. This ensures the system accurately identifies user intent and triggers appropriate responses only when sufficient historical context exists.
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