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aiming-lab/autoresearchclaw

21 skills · 267 combined installs

Skills from this source

#
Skill
Source
8W Activity
Installs
1
literature-search Systematic literature review methodology including search strategy, screening, and synthesis. Use when conducting lit…
aiming-lab/autoresearchclaw
34
2
statistical-reporting Statistical test selection, assumption checking, and APA-formatted reporting. Use when analyzing experimental results…
aiming-lab/autoresearchclaw
33
3
scientific-writing Academic manuscript writing with IMRAD structure, citation formatting, and reporting guidelines. Use when drafting or…
aiming-lab/autoresearchclaw
28
4
hypothesis-formulation Structured scientific hypothesis generation from observations. Use when formulating testable hypotheses, competing ex…
aiming-lab/autoresearchclaw
24
5
scientific-visualization Publication-ready scientific figure design with matplotlib and seaborn. Use when creating journal submission figures …
aiming-lab/autoresearchclaw
23
6
researchclaw Run the ResearchClaw autonomous research pipeline from a topic, config, and output directory.
aiming-lab/autoresearchclaw
20
7
a-evolve Apply A-Evolve's agentic evolution methodology to improve AI agent performance across runs. Use when the user wants t…
aiming-lab/autoresearchclaw
19
8
chemistry-rdkit Computational chemistry with RDKit for molecular analysis, descriptors, fingerprints, and substructure search. Use wh…
aiming-lab/autoresearchclaw
18
9
biology-biopython Bioinformatics with Biopython for sequence manipulation, file parsing, BLAST, and phylogenetics. Use when working wit…
aiming-lab/autoresearchclaw
16
10
meta-analysis Statistical methods for combining results across multiple studies. Use when aggregating cross-study or cross-experime…
aiming-lab/autoresearchclaw
6
11
cv-detection Best practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DE…
aiming-lab/autoresearchclaw
5
12
systematic-review Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search …
aiming-lab/autoresearchclaw
5
13
cv-classification Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmark…
aiming-lab/autoresearchclaw
4
14
data-loading Optimize data loading pipeline to prevent GPU starvation. Use when setting up DataLoader or data preprocessing.
aiming-lab/autoresearchclaw
4
15
distributed-training Multi-GPU and distributed training patterns with PyTorch DDP. Use when scaling training across GPUs.
aiming-lab/autoresearchclaw
4
16
experimental-design Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled exper…
aiming-lab/autoresearchclaw
4
17
mixed-precision Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.
aiming-lab/autoresearchclaw
4
18
nlp-alignment Best practices for LLM alignment techniques including RLHF, DPO, and instruction tuning. Use when working on alignmen…
aiming-lab/autoresearchclaw
4
19
nlp-pretraining Best practices for language model pretraining and fine-tuning. Use when generating or reviewing NLP training code.
aiming-lab/autoresearchclaw
4
20
pytorch-training Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
aiming-lab/autoresearchclaw
4
21
rl-policy-optimization Best practices for reinforcement learning policy optimization. Use when working on RL agents, PPO, SAC, or reward des…
aiming-lab/autoresearchclaw
4