What problem does it solve? Producing a thorough research report, literature review, or technology comparison normally requires manually gathering and synthesizing information from many sources. This Skill automates that process by invoking DeepTutor's multi-agent research pipeline from the command line. ## Core Features & Use Cases - Multiple Output Modes: Generate notes, full reports, comparisons, or structured learning paths depending on the goal. - Configurable Depth and Sources: Choose quick, standard, or deep research thoroughness, and draw from a knowledge base, the web, or academic papers. - Structured JSON Output: Returns parseable NDJSON so report content can be extracted and assembled programmatically. - Use Case: Ask for a deep comparison of agentic RAG versus traditional RAG using both your knowledge base and web sources, and receive a complete synthesized report. ## Quick Start Ask the agent to run a deep research report on your chosen topic, specifying the mode, depth, and sources you want.
