Claude-Code-Deep-Research-main

Claude Code Deep Research automates comprehensive research tasks using a multi-agent framework with Graph of Thoughts reasoning and citation validation. The skill deploys parallel research agents to gather and synthesize findings across multiple sources, rating citations by quality (A-E scale) and validating factual claims. It structures research output into executive summaries, full reports, bibliographies, and methodology documentation. Operations teams and research-heavy workflows benefit from streamlined topic exploration, question refinement, research planning, and findings synthesis—all managed through native Claude Code Skills and Commands.

1. **Install Claude Code:** Ensure you have [Claude Code](https://github.com/anthropics/claude-code) installed and authenticated with API access. Run `claude --version` to confirm installation. 2. **Define Scope:** Replace [TOPIC] with your research goal (e.g., "The future of quantum computing in healthcare"). Specify [SOURCES] (e.g., "PubMed, IEEE Xplore, arXiv"). 3. **Run the Command:** Execute the prompt in your terminal or IDE: ``` claude "Use Claude Code to automate deep research on [TOPIC]. Follow these steps: 1) Identify 5-7 key subtopics/questions to explore. 2) Gather data from [SOURCES] (prioritize official docs, peer-reviewed papers, or primary sources). 3) Analyze findings for patterns, contradictions, or gaps. 4) Synthesize into a structured report with bullet points, tables, or summaries. 5) Flag any unresolved questions or areas requiring further investigation. Sources must be cited with direct links." ``` 4. **Refine Output:** Review the generated report. Use the unresolved questions to guide further research or manual verification. For large datasets, export results to CSV/JSON for deeper analysis in tools like Excel or Python. 5. **Iterate:** Adjust [SOURCES] or subtopics based on gaps identified in the first run. For example, if regulatory impacts are missing, add "[REGULATORY BODIES]" to the sources list. **Tips:** - Use `claude --max-turns 10` to limit research depth if time-sensitive. - For technical topics, include "peer-reviewed papers" in [SOURCES] to filter low-quality results. - If the output is too broad, narrow the scope by adding constraints (e.g., "focus on 2022-2024 data").