nanoresearch-ideation

Solid

Search academic literature and generate research hypotheses

AI & Automation 1,403 stars 100 forks Updated 4 days ago MIT

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Skill Content

# Ideation Skill ## Purpose Search arXiv and Semantic Scholar for papers related to a research topic, perform gap analysis, and generate novel hypotheses. ## Tools Required - `search_arxiv`: Search arXiv for papers - `search_semantic_scholar`: Search Semantic Scholar for papers and citations ## Input - `topic`: The research topic or question to investigate ## Process 1. Generate 5-8 diverse search queries from the topic 2. Search arXiv and Semantic Scholar using each query 3. Deduplicate and rank papers by relevance 4. Analyze the collected papers to identify research gaps 5. Generate 2-4 novel hypotheses that address the identified gaps 6. Select the most promising hypothesis with justification ## Output Produces `papers/ideation_output.json` containing: - Retrieved papers with metadata - Survey summary - Gap analysis - Generated hypotheses - Selected hypothesis with rationale

Details

Author
OpenRaiser
Repository
OpenRaiser/NanoResearch
Created
2 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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