claudecodex

zarr-chunk-optimization

Benchmarking and optimization tools for Zarr chunking strategies on cloud object stores. Measures performance across access patterns and generates recommendations based on Nguyen et al. (2023) methodology.

32 on GitHubby SSEC Engineering Teamv0.1.0MITupdated 13 days agodata-science
/

Plugin zarr-chunk-optimization from marketplace rse-plugins in uw-ssec/rse-plugins. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (5)

  • access-pattern-analysis

    Identifies, formalizes, and prioritizes data access patterns for multi-dimensional Zarr datasets, translating user workflow descriptions into weighted, benchmark-ready pattern definitions with xarray operation mappings. Use when defining or optimizing access patterns before benchmarking chunk config

  • chunking-strategy

    Benchmarks and optimizes Zarr chunking strategies for multi-dimensional scientific datasets, measuring wall-clock time, peak memory, and I/O metrics across spatial, time-series, and spectral access patterns following Nguyen et al. (2023) methodology. Use when the user asks about Zarr chunk sizing, s

  • performance-reporting

    Generates structured benchmark reports with configuration comparison tables, performance bias analysis, ranked recommendations, and trade-off explanations from Zarr chunking benchmark results. Use when the user has Zarr chunking benchmark data to analyze, needs to compare chunk configurations, wants

  • rechunking

    Safely applies chunking configurations to Zarr datasets with validation, progress reporting, memory-bounded execution, and rollback safety. Supports local, S3, and GCS storage backends. Use when the user needs to rechunk a .zarr dataset, change chunk sizes, optimize Zarr storage layout, or apply a c

  • synthetic-data

    Generates synthetic Zarr datasets with configurable dimensions, shapes, data types, and compression for controlled chunking benchmarks. Supports local and cloud storage backends (S3, GCS). Use when the user needs to create test Zarr datasets for benchmarking, generate synthetic array data for perfor

Slash commands (5)

  • /zarr-chunk-optimization:analyze-performance

    Analyze benchmark results and generate a performance report with ranked recommendations and trade-off explanations

  • /zarr-chunk-optimization:benchmark

    Run comprehensive chunking benchmarks on Zarr dataset and generate performance report with recommendations

  • /zarr-chunk-optimization:generate-synthetic

    Generate a synthetic Zarr dataset for controlled chunking benchmarks with configurable dimensions and compression

  • /zarr-chunk-optimization:rechunk

    Apply a specific chunking configuration to a Zarr dataset with validation and progress reporting

  • /zarr-chunk-optimization:tradeoffs

    Explore chunking trade-offs from existing benchmark results for different access pattern scenarios

Subagents (2)

  • benchmarking-agent

    Zarr chunking optimization expert that benchmarks multi-dimensional array storage for cloud object stores (S3, GCS) and generates recommendations based on Nguyen et al. (2023) methodology.

  • performance-analyst

    Expert in interpreting Zarr chunking benchmark results, analyzing performance trade-offs across access patterns, and generating actionable recommendations with research-backed context from Nguyen et al. (2023).

View source on GitHub

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