nanoresearch-experimen…
Generate a Python code skeleton from an experiment blueprint
Search academic literature and generate research hypotheses
$ npx -y skills add OpenRaiser/NanoResearch --skill nanoresearch-ideation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nanoresearch-ideationContext preview
The summary Claude sees to decide when to auto-load this skill.
Search academic literature and generate research hypotheses
name: nanoresearch-ideation description: Search academic literature and generate research hypotheses version: 0.1.0
Search arXiv and Semantic Scholar for papers related to a research topic, perform gap analysis, and generate novel hypotheses.
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
Produces `papers/ideation_output.json` containing:
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。
Generate a Python code skeleton from an experiment blueprint
Produce an experiment blueprint from a research hypothesis
Draft a LaTeX research paper from all previous stage outputs
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization…
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships…
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device…