AI-powered deep research skill that deploys parallel agents to verify sources, cross-check facts, and generate citation-backed reports with structured outputs.
git clone https://github.com/fivetaku/deep-research-kit.gitDeep Research Kit turns single questions into comprehensive, citation-backed research reports using parallel AI agents. It deploys 3-5 simultaneous agents across web, academic, and technical sources, then cross-verifies key claims against multiple sources to minimize hallucinations. Every factual claim includes inline citations, and sources are graded A–E by credibility. The skill generates executive summaries, full sectioned reports, bibliographies, and optional interactive websites automatically. Research sessions are resumable via saved state, making it ideal for complex investigations where source quality and fact-checking matter.
Add the marketplace with `/plugin marketplace add https://github.com/fivetaku/gptaku_plugins.git`, then install with `/plugin install deep-research`. Restart Claude Code. Start researching with `/deep-research [topic]` — the skill will ask scoping questions, deploy agents, and deliver a structured report with citations.
Market research and competitive analysis with verified sources
Academic literature reviews with peer-reviewed paper prioritization
Technical documentation synthesis from official specs and standards
Fact-checking and claim verification across multiple independent sources
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/fivetaku/deep-research-kitCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a research assistant. I need a comprehensive analysis of [TOPIC] in the [INDUSTRY]. Focus on [ASPECT] and provide insights based on [DATA SOURCES]. Include recent trends, key players, and potential opportunities. Format the output with clear headings and bullet points.
# Research Analysis: AI in Healthcare ## Key Trends - **Personalized Medicine**: AI algorithms are enabling tailored treatment plans based on individual genetic profiles. - **Predictive Analytics**: Hospitals use AI to predict patient deterioration and optimize staffing. - **Robot-Assisted Surgery**: AI enhances precision and reduces recovery times. ## Key Players - **IBM Watson Health**: Leveraging AI for drug discovery and patient care. - **Google DeepMind Health**: Focused on medical imaging and diagnostics. - **Startups**: Companies like Tempus and Flatiron Health are disrupting oncology with AI-driven insights. ## Opportunities - **Data Integration**: Combining electronic health records (EHRs) with AI for better decision-making. - **Regulatory Compliance**: AI can streamline adherence to healthcare regulations. - **Remote Monitoring**: AI-powered wearables for continuous patient monitoring.
AI assistant built for thoughtful, nuanced conversation
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