CalibrateEmulateSample.jl
Julia code quality, math audits, and dependency maintenance
All Skills in This Repository (4)
Pure Emerald Level Indicators
CliMAbase-show
Generate Base.show and Base.summary methods for Julia custom types.
CliMAerror-message-manager
Rewrite vague Julia error messages into structured diagnostics with Expected, Got, and Suggestion sections.
CliMApython-dep-manager
Manages CondaPkg and PythonCall dependencies for CalibrateEmulateSample.jl.
CliMAdocstrings
Generate and normalize Julia package docstrings and sync API pages.
Frequently Asked Questions
FAQPage SchemaHow to install CalibrateEmulateSample.jl skills?▼
Run `npx skills add CliMA/CalibrateEmulateSample.jl --all -g -y` in your terminal to install all skills in this suite globally.
What does CalibrateEmulateSample.jl do?▼
It is a Julia package for derivative-free, machine-learning-accelerated uncertainty quantification. It calibrates model parameters with ensemble Kalman methods, emulates expensive simulations, and samples posterior distributions with MCMC.
How to audit Julia code for math errors?▼
The math-auditor skill runs an adversarial review of your source and test files, verifying equations against the literature and producing a dated report with self-contained fix prompts.
How to improve Julia error messages automatically?▼
The error-message-manager skill rewrites vague throws and asserts into structured diagnostics with expected values, received values, and concrete fix suggestions, plus matching tests.
Do these skills work with Claude Code and Cursor?▼
Yes. All skills follow the universal SKILL.md standard and run in Claude Code, Cursor, Codex, and other compatible coding environments.
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