hf-mcp
Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
23 skills found
Connect your AI agent to the Hugging Face Hub via MCP. Search models, datasets, and papers, manage repos, run cloud compute jobs, and invoke Gradio Spaces as functional AI tools.
Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.
Nonlinear optimization toolkit using CasADi and IPOPT. Ideal for building complex NLP models, defining symbolic variables, constraints, and solvers, with specialized support for power systems optimization patterns.
Preprocessing and cleaning astronomical light curves using Lightkurve. Tools for outlier removal, flattening, trend detrending, and quality flag handling for time-series analysis.
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Statistical modeling and econometrics library for Python. Performs OLS, GLM, mixed models, ARIMA, diagnostics, and inference for rigorous scientific analysis.
Genomic file toolkit for NGS data processing. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using Pysam with a Pythonic interface to htslib.
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.