detecting-performance-regressions
Performance Regression Detector
Positioning
Treat this skill as an explicit/manual helper for benchmark comparison work.
When to Use
Use this skill when:
- Identify performance regressions in a CI/CD pipeline.
- Analyze performance metrics for potential degradation.
- Compare current performance against historical baselines.
Not For / Boundaries
- Broad optimization roadmap or tuning backlog: use
providing-performance-optimization-advice - Root-cause debugging of a specific slow path: use
systematic-debugging - General test artifact packaging without regression judgment: use
generating-test-reports
Typical Outputs
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Codex-compatible Ralph loop runner with dual engines (compat local state loop + optional open-ralph-wiggum backend).
7clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
4polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
4lqf_machine_learning_expert_guide
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3creating-data-visualizations
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3subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
3