Skip to main content
CRAG666
Perfil de creador de GitHub

CRAG666

Vista por repositorio de 26 skills recopiladas en 1 repositorios de GitHub.

skills recopiladas
26
repositorios
1
actualizado
30 ago 2026
mapa de repositorios

Dónde viven las skills

Repositorios principales por número de skills recopiladas, con su participación en este catálogo del creador y su variedad ocupacional.

explorador de repositorios

Repositorios y skills representativas

aeon
sin clasificar

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…

30 ago 2026
exploratory-data-analysis
sin clasificar

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…

30 ago 2026
literature-review
sin clasificar

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…

30 ago 2026
markitdown
sin clasificar

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,…

30 ago 2026
matplotlib
sin clasificar

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…

30 ago 2026
networkx
sin clasificar

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…

30 ago 2026
neurokit2
sin clasificar

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,…

30 ago 2026
optimize-for-gpu
sin clasificar

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,…

30 ago 2026
Mostrando 8 de 26 skills recopiladas.
Mostrando 1 de 1 repositorios
Todos los repositorios cargados