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CRAG666
GitHub 제작자 프로필

CRAG666

1개 GitHub 저장소에서 수집된 26개 skills를 저장소 단위로 보여줍니다.

수집된 skills
26
저장소
1
업데이트
2026년 8월 30일
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

aeon
미분류

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed…

2026년 8월 30일
exploratory-data-analysis
미분류

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation…

2026년 8월 30일
literature-review
미분류

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…

2026년 8월 30일
markitdown
미분류

Convert heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction,…

2026년 8월 30일
matplotlib
미분류

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots…

2026년 8월 30일
networkx
미분류

Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks…

2026년 8월 30일
neurokit2
미분류

Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas,…

2026년 8월 30일
optimize-for-gpu
미분류

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation,…

2026년 8월 30일
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