domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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machine-learning
0

ai-annotation-workflow

Эксперт по data annotation. Используй для ML labeling, annotation workflows и quality control.

dengineproblem
dengineproblem
data-ai
open
machine-learning
0

east-py-datascience

Data science and machine learning platform functions for the East language (TypeScript types). Use when writing East programs that need optimization (MADS, Optuna, SimAnneal, Scipy), machine learning (XGBoost, LightGBM, NGBoost, Torch MLP, Lightning, GP), ML utilities (Sklearn preprocessing, metrics, splits), conformal prediction (MAPIE), or model explainability (SHAP). Triggers for: (1) Writing East programs with @elaraai/east-py-datascience, (2) Derivative-free optimization with MADS, (3) Bayesian optimization with Optuna, (4) Discrete/combinatorial optimization with SimAnneal, (5) Gradient boosting with XGBoost or LightGBM, (6) Probabilistic predictions with NGBoost or GP, (7) Neural networks with Torch MLP or Lightning, (8) Data preprocessing and metrics with Sklearn, (9) Conformal prediction intervals with MAPIE, (10) Model explainability with Shap.

elaraai
elaraai
data-ai
open
data-analysis
0

data-analyst

Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.

lastdays03
lastdays03
data-ai
open
data-analysis
0

numpy-statistics

Standard and NaN-robust statistical functions for data analysis, histograms, and correlation matrices. Triggers: statistics, mean, nanmean, histogram, corrcoef, percentile, std.

cuba6112
cuba6112
data-ai
open
data-analysis
0

disk-space-mapper

Analyze disk usage across directories, identify large/old directories, and generate storage reports. Use when you need to find directories consuming disk space, identify candidates for cleanup (directories older than X days AND larger than Y MB), sort results by size, or generate disk usage reports. Supports filtering by age and size, automatic sorting by disk space, and file-based report generation.

tonytamsf
tonytamsf
data-ai
open
data-analysis
0

similarity-matcher

조사지역 주변 유사 유적 매칭 및 비교 분석

younga1234
younga1234
data-ai
open
data-analysis
0

hist

Use when working with the scikit-hep hist library in Python to create, fill, slice, and plot histograms (1D/2D/multi-axis), including UHI indexing, categorical axes, and mplhep plotting conventions.

gordonwatts
gordonwatts
data-ai
open
data-analysis
0

data-analysis

Data analysis and visualization expert using Python pandas and visualization libraries

ibytechaos
ibytechaos
data-ai
open
data-engineering
0

dataql-analysis

Analyze data files using SQL queries with DataQL. Use when working with CSV, JSON, Parquet, Excel files or when the user mentions data analysis, filtering, aggregation, or SQL queries on files.

adrianolaselva
adrianolaselva
data-ai
open
data-analysis
0

moai-lang-r

R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.

kivo360
kivo360
data-ai
open
data-analysis
0

test-report

テスト結果報告書を作成する。テスト完了後の結果報告、品質レビュー時に使う。

HaRu-LLC
HaRu-LLC
data-ai
open
data-analysis
0

chartjs-developers

This skill should be used when the user asks "Chart.js plugin", "custom Chart.js plugin", "Chart.js plugin hooks", "Chart.js beforeDraw", "Chart.js afterDraw", "custom chart type", "extend Chart.js", "Chart.js API", "Chart.js update", "Chart.js destroy", "Chart.js methods", "Chart.js events", "Chart.js canvas", "Chart.js TypeScript", "custom scale", "Chart.js DatasetController", "Chart.js Scale", or needs help creating custom Chart.js v4.5.1 plugins, extensions, custom chart types, custom scales, or using the API.

sjnims
sjnims
data-ai
open
data-analysis
0

report-pattern

Garante padrões consistentes para relatórios no Easy Budget (filtros, exportação, visualização).

JoseApRJunior
JoseApRJunior
data-ai
open
data-analysis
0

using-avalonia-collectionview

Provides CollectionView alternatives for AvaloniaUI using DataGridCollectionView and ReactiveUI. Use when filtering, sorting, or grouping collections in AvaloniaUI applications.

christian289
christian289
data-ai
open
machine-learning
0

sota-data-cleaning-feature-selection-eda

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.

raphaelmansuy
raphaelmansuy
data-ai
open
data-analysis
0

experiment-report-writer

Write structured experiment sections (methods + results + discussion) for NQS + SQD projects in this repository, based on contents of results/ and figures/.

thc1006
thc1006
data-ai
open
data-analysis
0

fof-qc-summarizer

Aggregate-only summarizer for K18 QC artifacts; produces summary outputs and appends manifest rows when format is confirmed.

Tupatuko2023
Tupatuko2023
data-ai
open
data-analysis
0

nfl-analysis

Guide statistical analysis of NFL data using nflreadpy MCP tools. Use when analyzing real NFL statistics for research, validation, or comparison.

merciless-creations
merciless-creations
data-ai
open
data-analysis
0

r-package

Personal R package development preferences for code style, documentation conventions, and workflow. Complements Posit r-lib skills with specific style choices for minimal comments and neuroimaging package patterns.

drmowinckels
drmowinckels
data-ai
open
data-analysis
0

gaql-queries

Activate when user needs custom Google Ads data analysis, advanced reporting, or specific metric queries. Provides GAQL query building and execution guidance.

accoladians
accoladians
data-ai
open
data-analysis
0

data-model-reporter

데이터 분석/머신러닝 노트북의 결과를 분석하여 표준화된 Model Card 보고서(Markdown)를 자동 생성합니다.

lastdays03
lastdays03
data-ai
open
data-analysis
0

data-visualization

Visualization is communication. Chart selection, encoding hierarchy, accessibility, rendering performance. Use established algorithms - these problems are solved.

jagreehal
jagreehal
data-ai
open
data-analysis
0

data-analysis

Analyze datasets using pandas, generate reports, and create visualizations

abilashraghuram
abilashraghuram
data-ai
open
data-engineering
0

eda

Exploratory Data Analysis for tabular data. Use this skill when analyzing value distributions, checking for missing data, computing correlations, examining class balance, or generating data quality reports.

argythana
argythana
data-ai
open
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