发现 Claude mods
这里默认只列出有证据的 Claude Code Mod：插件的钩子配置声明了函数钩子模块（modules）。服务器每 6 小时在 GitHub 上找新的 Mod，也接受你提交的仓库。
第 1–17 条，共 17 条结果
★ 是仓库级 Star，不代表包的质量；下载请求不等于安装。指标定义
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nanoresearch-experiment技能
Generate a Python code skeleton from an experiment blueprint
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nanoresearch-ideation技能
Search academic literature and generate research hypotheses
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nanoresearch-planning技能
Produce an experiment blueprint from a research hypothesis
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nanoresearch-writing技能
Draft a LaTeX research paper from all previous stage outputs
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autoresearch技能
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes resu…
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academic-plotting技能
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gem…
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huggingface-accelerate技能
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). …
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brainstorming-research-ideas技能
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on exi…
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creative-thinking-for-research技能
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reas…
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evaluating-llms-harness技能
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training …
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ml-paper-writing技能
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citatio…
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ml-training-recipes技能
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, …
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peft-fine-tuning技能
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal …
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ray-data技能
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of …
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skypilot-multi-cloud-orchestration技能
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or opt…
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unsloth技能
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
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NanoResearch.claude 配置包
🦞+🔬 NanoResearch: The Autonomous AI Research Assistant
注册表状态
- Claude Mod
- 44
- 包
- 9,812
- 仓库
- 389
- 版本
- 10,063
- 下载请求
- 3
- 最近采集
- 部分成功 运行详情
发现队列还有 2,437 个仓库待处理，当前收录并不完整。 2 次扫描因上限被截断，部分内容可能缺失。