Orchestrate an 8-phase research pipeline with verified claims and citations.
npx skills add https://github.com/s1366560/agi-demos --skill deep-research-s1366560
Please help me install this Agent Skill. Skill: deep-research Source: https://github.com/s1366560/agi-demos/tree/main/.memstack/skills/deep-research Command: npx skills add https://github.com/s1366560/agi-demos --skill deep-research-s1366560
This Skill automates the process of conducting thorough, multi-source research, providing verified, citation-backed reports that go beyond simple web searches. It tackles complex questions that require deep analysis and synthesis.
Use deep research to analyze the state of quantum computing in 2025.
High-intent search queries and answers about installing and using this skill.
You can automate deep research using an 8-phase pipeline that handles scope definition, parallel information retrieval, triangulation, and synthesis to generate verified, citation-backed reports.
To ensure research claims are verified and properly cited, use a pipeline that performs multi-source triangulation, critique, and structured citation management before packaging the final synthesis report.
Automated report generation handles enterprise-grade information retrieval by executing parallel information gathering across numerous sources, followed by critique and packaging into structured output formats.
Yes, you can use this automated research approach to analyze competitive landscapes, compare technical solutions, or assess scientific advancements by leveraging its multi-source synthesis capabilities.
Yes, the multi-source analysis and reporting pipeline utilizes Python scripts to orchestrate its 8-phase workflow, ensuring structured output and proper citation management.
You should avoid using an automated deep research pipeline for simple queries that require only a basic web search, as this process is designed for complex questions requiring deep analysis and triangulation.
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