deep-research
A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
113 skills found
A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
Real-time e-commerce price comparison and coupon hunting across major Chinese platforms like Taobao, JD, Pinduoduo, and more.
A powerful CLI for converting web content and search results into LLM-friendly formats like Markdown, text, or HTML using the Jina AI Reader API.
Crawl websites to extract content as clean markdown files. Ideal for documentation, research, and offline knowledge management.
FHIR API development guide for building compliant healthcare endpoints. Includes resource validation, coding systems, and standard error handling.
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Verify Everything Search integration (CLI, HTTP, SDK) for inventory_master to ensure connectivity, service health, and provider availability.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Analyze search results (SERP) to classify user intent, identify feature opportunities, and conduct competitive intelligence for content strategy.
Manually import markdown files into the Kurt database, fix ingestion errors, and manage document metadata via local file system synchronization.