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DataPython

NanoResearch Ideation

by OpenRaiser

NanoResearch Ideation is a Data skill for Claude Code, published by OpenRaiser in NanoResearch.

1.4K stars95 forkson OpenRaiser/NanoResearchAdded 2026/08/19Repository updated 2026/05/26
agent-skillsagentsaiai-agentsai-scientistartificial-intelligenceautonomous-agentsautonomous-researchautoresearchclaude-codeclaude-skillsnanobotopenclaw
Install in seconds
Install NanoResearch Ideation
Copy NanoResearch Ideation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-ideation ~/.claude/skills/nanoresearch-ideation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenRaiser/NanoResearch.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/nanoresearch-ideation/SKILL.md in OpenRaiser/NanoResearch
Installs to
~/.claude/skills/nanoresearch-ideation
Collection
One of 16 skills cataloged from this repository
Category
Data668 skills

What NanoResearch Ideation does

NanoResearch Ideation searches arXiv and Semantic Scholar for literature on a research topic, performs gap analysis, and generates novel hypotheses with justification. Use it to move from a broad topic to ranked papers and a selected promising hypothesis.

NanoResearch Ideation is cataloged under Data on DirSkills. NanoResearch Ideation comes from a repository tagged agent-skills, agents, ai, ai-agents and ai-scientist.

Documentation

README

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about NanoResearch Ideation

  • What else does OpenRaiser publish alongside NanoResearch Ideation?

    NanoResearch Ideation is one of 16 skills that DirSkills catalogs from OpenRaiser/NanoResearch, the repository it ships in. Its siblings there include Academic Plotting, Autoresearch and Creative Thinking for Research. Each one is a separate skill with its own page in this directory, installs the same way NanoResearch Ideation does, and is maintained by OpenRaiser in that same repository. The rest of the collection is listed on the OpenRaiser/NanoResearch page.

  • How does NanoResearch Ideation compare to other Data skills?

    NanoResearch Ideation ranks #407 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of NanoResearch Ideation against them. Open each page to compare what they document and how they install.

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