julia-correctness-testing
Write and design Julia tests that assess mathematical correctness and coding correctness, including invariants, edge cases, regressions, and integration behavior across modules.
Repository SourceNeeds Review
julia-benchmark-standard
Standardize Julia BenchmarkTools setup, warmup policy, and before/after performance reporting for repeatable runtime comparisons in this package.
Safety Notice
This listing is imported from SkillsMP metadata and should be treated as untrusted until upstream source review is completed.
Copy this and send it to your AI assistant to learn
Install skill "julia-benchmark-standard" with this command: npx skills add nicoloponcia/skillsmp-nicoloponcia-nicoloponcia-julia-benchmark-standard
No markdown body
This source entry does not include full markdown content beyond metadata.
Source Transparency
This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.
Related Skills
Related by shared tags or category signals.
julia-release-migration
Generate release changelog and downstream upgrade notes from Julia API diffs, including renamed symbols, signature changes, and data structure migrations.
Repository SourceNeeds Review
julia-global-correctness-integration
Ensure global correctness and integration across all package modules by validating interfaces, invariants, cross-module behavior, and end-to-end workflows.
Repository SourceNeeds Review
julia-performance-refactor
Refactor Julia code for type stability, runtime-first optimization, API/interface redesign, data structure refactoring, and aggressive code debloating while preserving mathematical robustness.
Repository SourceNeeds Review