---
name: nanoresearch-ideation-e3851aa3f660
description: Search academic literature and generate research hypotheses
version: 0.1.0
---

# 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


---
Source attribution: OpenRaiser
Original project: https://github.com/OpenRaiser/NanoResearch
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: OpenRaiser
Original project: https://github.com/OpenRaiser/NanoResearch
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Education & Research, Data & Analytics
Roles: Researcher, Data Scientist, Academic Writer
Specialties: Specialty not specified
Tools: Search_Arxiv, Search_Semantic_Scholar
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: ecc93e2b51b9de2785bed84d25330f0eda7653f62f1ad298a27f5d8a3b8d14bc