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数据库 AI 技能

发现 数据库 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

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显示第 25,033–25,056 个,共 85,283 个

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GitHub

oasis-score

hannesill

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.

GitHub

clinical-research-pitfalls

hannesill

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.

GitHub

mimic-table-relationships

hannesill

Understand MIMIC-IV table relationships, join patterns, and identifier hierarchy. Use for correct data linkage, avoiding duplicates, and proper temporal joins.

GitHub

kdigo-aki-staging

hannesill

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.

GitHub

baseline-creatinine

hannesill

Estimate baseline serum creatinine for AKI assessment in MIMIC-IV. Use for KDIGO staging, AKI research, or renal function baseline establishment.

GitHub

suspicion-of-infection

hannesill

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.

GitHub

m4-api

hannesill

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...

GitHub

mimic-eicu-mapping

hannesill

Map equivalent concepts between MIMIC-IV and eICU databases. Use for multi-database studies, external validation, or understanding structural differences between databases.

GitHub

sirs-criteria

hannesill

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.

GitHub

r3f-best-practices

emalorenzo

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...

GitHub

three-best-practices

emalorenzo

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...

GitHub

data-visualization

uw-ssec

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...

GitHub

colormaps-styling

uw-ssec

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...

GitHub

panel-dashboards

uw-ssec

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...

GitHub

code-quality-tools

uw-ssec

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...

GitHub

advanced-rendering

uw-ssec

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...

GitHub

xarray-for-multidimensional-data

uw-ssec

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...

GitHub

python-testing

uw-ssec

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...

GitHub

pixi-package-manager

uw-ssec

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...

GitHub

python-packaging

uw-ssec

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...

GitHub

parameterization

uw-ssec

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...

GitHub

scientific-documentation

uw-ssec

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...

GitHub

lumen-ai

uw-ssec

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents...

GitHub

lumen-dashboards

uw-ssec

Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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