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Calculate SOFA (Sequential Organ Failure Assessment) score for ICU patients in MIMIC-IV. Use for sepsis severity assessment, organ dysfunction quantification, mortality prediction, or Sepsis-3 criteria evaluati...
Identify first ICU stays and first hospital admissions in MIMIC-IV for cohort selection. Use to exclude readmissions, create independent observations, or build adult patient cohorts.
Calculate OASIS (Oxford Acute Severity of Illness Score) for ICU patients in MIMIC-IV. Use for mortality prediction with fewer variables than APACHE/SAPS, or when lab data is limited.
Avoid common methodological mistakes in clinical research with MIMIC-IV and eICU databases. Covers immortal time bias, information leakage, selection bias, and other critical pitfalls.
Understand MIMIC-IV table relationships, join patterns, and identifier hierarchy. Use for correct data linkage, avoiding duplicates, and proper temporal joins.
Calculate KDIGO AKI (Acute Kidney Injury) staging for ICU patients in MIMIC-IV using creatinine and urine output criteria. Use for nephrology research, AKI outcome studies, or renal function monitoring.
Estimate baseline serum creatinine for AKI assessment in MIMIC-IV. Use for KDIGO staging, AKI research, or renal function baseline establishment.
Identify suspected infection events in MIMIC-IV using antibiotic administration plus culture timing. Use as a component of Sepsis-3 definition or for infection research.
Use the M4 Python API to query clinical datasets (MIMIC-IV, eICU) programmatically. Triggers on "M4 API", "query MIMIC with Python", "clinical data analysis", "EHR data", "execute SQL on MIMIC", or when writing...
Map equivalent concepts between MIMIC-IV and eICU databases. Use for multi-database studies, external validation, or understanding structural differences between databases.
Calculate SIRS (Systemic Inflammatory Response Syndrome) criteria for ICU patients in MIMIC-IV. Use for historical sepsis definitions, inflammatory response assessment, or research comparing SIRS vs Sepsis-3.
React Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/pos...
Three.js performance optimization and best practices guidelines. Use when writing, reviewing, or optimizing Three.js code. Triggers on tasks involving 3D scenes, WebGL/WebGPU rendering, geometries, materials, t...
Master advanced declarative visualization with HoloViews. Use this skill when creating complex multi-dimensional visualizations, composing overlays and layouts, implementing interactive streams and selection, b...
Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customiz...
Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and...
Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Use when setting up linting, formatting, type checking, or automated quality gates. Ideal for enforcing co...
Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering...
Work with labeled multidimensional arrays for scientific data analysis using Xarray. Use when handling climate data, satellite imagery, oceanographic data, or any multidimensional datasets with coordinates and...
Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numeric...
Manage scientific Python dependencies and environments using pixi package manager with unified conda-forge and PyPI support. Use when setting up project environments, managing dependencies, creating reproducibl...
Create and publish distributable scientific Python packages following Scientific Python community best practices with pyproject.toml, src layout, and Hatchling. Use when building Python libraries, publishing to...
Master declarative parameter systems with Param for type-safe configuration. Use this skill when building parameterized classes with automatic validation, creating reactive dependencies with @param.depends, imp...
This skill should be used when the user asks to "set up documentation", "create docs for Python package", "configure Sphinx", "set up MkDocs", "write docstrings", "use NumPy-style docstrings", "set up Read the...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.