nanoresearch-experimen…
Generate a Python code skeleton from an experiment blueprint
@openraiserInstall SkillAutomation
Skill
/nanoresearch-ideation
Search academic literature and generate research hypotheses
Claude Code
$ npx -y skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation --agent claude-code
Codex
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a codex -y
Cursor
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a cursor -y
Gemini CLI
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a gemini-cli -y
GitHub Copilot
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a github-copilot -y
OpenCode
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a opencode -y
Windsurf
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation -a windsurf -y
SKILL.md
nanoresearch-ideation.SKILL.mdname: nanoresearch-ideation 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
Ships withnanoresearch
端到端自主 AI 科研引擎 — 从研究想法到完整论文，全程自动化 快速开始 · 效果展示 · 流水线 · Claude Code · 飞书机器人 🔬 NanoResearch 真正运行计算实验——它不仅生成代码，还能将代码提交到 GPU 集群执行训练，收集真实实验结果，生成论文配图，最终输出一篇有实验数据支撑的完整 LaTeX 论文。论文中的每一个数据、表格、图表都来自实际运行的实验结果，而非 LLM 编造。
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Questions about nanoresearch-ideation.
- Which coding agents can use nanoresearch-ideation?
- nanoresearch-ideation installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.