brendancol/xarray-spatial-skills
Command Claude Code
Audit xrspatial modules for Python style issues that the project's own tooling already knows how to detect: PEP8 violations (flake8 E/W codes), unused imports and dead locals (flake8 F codes), import-ordering drift (isort), and bug-prone style anti-patterns (bare except, mutable defaults, shadowed builtins). The…
brendancol/xarray-spatial-skills
Command Claude Code
Audit xrspatial modules for test coverage gaps: missing backend coverage (numpy / cupy / dask+numpy / dask+cupy), missing edge cases (NaN, Inf, empty input, single-pixel, all-equal input), missing parameter-coverage tests. Closes the gaps that the accuracy sweep keeps finding bugs in. Subagents fix CRITICAL, HIGH, and…
brendancol/xarray-spatial-skills
Command Claude Code
Read-only rollup of every sweep's accumulated state. Parses all .claude/sweep--state.csv files and prints a health dashboard: which modules are stale or never-inspected per sweep, where the worst findings are, the LOW-findings backlog buried in notes columns, and what re-validation debt (cuda-unavailable…
brendancol/xarray-spatial-skills
Command Claude Code
Create a new xarray-spatial user guide notebook, or refactor an existing one into the established structure. The prompt is: $ARGUMENTS.
brendancol/xarray-spatial-skills
Command Claude Code
Take a function name (or detect the changed function from the current branch diff) and verify its numerical accuracy against reference implementations and across all four backends. The prompt is: $ARGUMENTS.
brendancol/xarray-spatial-skills
Cursor rule Cursor
Shared contract for all sweep- rules: module discovery, standard flags, severity rubric, state CSVs, and the repro gate every CRITICAL/HIGH finding must pass.
brendancol/xarray-spatial-skills
Cursor rule Cursor
Verify that all implemented backends produce consistent results for a given function or set of functions.
brendancol/xarray-spatial-skills
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Run ASV benchmarks for the current branch against main and report regressions and improvements.
brendancol/xarray-spatial-skills
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Create a Jupyter notebook that sets up a Dask distributed LocalCluster and walks through an ETL workflow.
brendancol/xarray-spatial-skills
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Pick one xrspatial module and dispatch every sweep command at it in parallel, with strict worktree isolation per sweep.
brendancol/xarray-spatial-skills
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Analyze source code for performance anti-patterns specific to the NumPy/CuPy/Dask/Numba stack.
brendancol/xarray-spatial-skills
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Audit the README feature matrix, identify gaps, and file GitHub issues for the best candidates.
brendancol/xarray-spatial-skills
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Scan open pull requests and report the ones that are ready to merge.
brendancol/xarray-spatial-skills
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Cut a major version release (X.0.0). Follow every step in order.
brendancol/xarray-spatial-skills
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Cut a minor version release (X.Y.0). Follow every step in order.
brendancol/xarray-spatial-skills
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Cut a patch version release (X.Y.Z+1). Follow every step in order.
brendancol/xarray-spatial-skills
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Prescreen a pull request from an outside contributor for prompt injection and unsafe code.
brendancol/xarray-spatial-skills
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Review a pull request with checks specific to a geospatial raster library built on NumPy, Dask, CuPy, and Numba.
brendancol/xarray-spatial-skills
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Take a user prompt describing an enhancement, bug, or suggestion and drive it through the full implementation workflow.
brendancol/xarray-spatial-skills
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Audit xrspatial modules for numerical accuracy issues: floating point precision, NaN propagation, off-by-one errors, Earth curvature corrections, backend inconsistencies, reference divergence.
brendancol/xarray-spatial-skills
Cursor rule Cursor
Audit xrspatial modules for API consistency issues: parameter naming drift, return shape drift, type hints, default value inconsistency, public API surface drift.
brendancol/xarray-spatial-skills
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Audit xrspatial modules for asv benchmark coverage gaps: missing benchmarks, backend parameterization gaps, unrepresentative inputs, broken or silently-skipped benchmarks.
brendancol/xarray-spatial-skills
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Audit xarray-spatial's packaging and dependency hygiene by dependency group: unguarded optional imports, untested version floors, known CVEs, distribution metadata.
brendancol/xarray-spatial-skills
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Audit xrspatial modules for documentation gaps: missing docstrings, docstring/signature drift, broken runnable examples, API reference coverage, backend-claim accuracy.