Route user queries to optimal AI and vertical search sources.
npx skills add https://github.com/carl10086/ys-powers --skill smart-search-carl10086
Please help me install this Agent Skill. Skill: smart-search Source: https://github.com/carl10086/ys-powers/tree/main/external/opencli/skills/smart-search Command: npx skills add https://github.com/carl10086/ys-powers --skill smart-search-carl10086
This skill solves the problem of inefficient and fragmented web searching by intelligently routing queries to the most relevant data sources, ensuring high-quality, context-aware results while managing search frequency and source reliability.
Use the smart-search skill to research the latest developments in AI agents and summarize the key viewpoints from both technical and social media sources.
High-intent search queries and answers about installing and using this skill.
Intelligent search routing improves web research by automatically directing queries to optimal AI models and vertical platforms based on user intent and domain. This ensures high-precision, context-aware data retrieval while managing search frequency to prevent redundant calls.
You can automate search result summarization by routing queries to specialized technical sources and community platforms. The skill aggregates the retrieved data, verifies sources, and compiles the findings into a structured summary of key viewpoints.
Yes, smart-search supports source verification across technical and social media domains. It routes queries to specialized platforms, retrieves context-aware data, and structures the findings to verify information reliability.
The best way to manage search frequency is through built-in search budgeting protocols. The skill implements strict frequency limits and pre-checks to prevent redundant calls, ensuring cost-effective and efficient data retrieval across multiple sources.
Yes, multi-source data retrieval works without external dependencies. The skill operates independently to route queries to AI models and vertical platforms, managing source selection and frequency limits internally.
Automated search routing limits query frequency to ensure cost-effective data retrieval and prevent redundant API calls. Strict search budgeting and pre-check protocols maintain high-precision results while managing source reliability.
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