data-analysis
0
analyzing-data
Use when you have CSV/Excel data files and need PM insights (retention, funnel, segmentation) via Python analysis.
nuggetswise
data-ai
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data-analysis
0
data-analyst
Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.
lastdays03
data-ai
data-analysis
0
data-analysis
Data analysis and visualization expert using Python pandas and visualization libraries
ibytechaos
data-ai
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
data-ai
productivity-tools
0
jupyter
Specialized assistant for working with Jupyter notebooks (.ipynb files). Use for analyzing, editing, debugging, or executing code in notebooks. Helps with data analysis, machine learning, deep learning, data visualization, and scientific computing workflows. Can read notebook contents, modify cells, execute Python code in the kernel, add documentation, and troubleshoot errors.
Ming-Kai-LC
tools
data-analysis
0
engineering-nba-data
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.
Emz1998
data-ai
sql-databases
0
data-connector
Connect to and inspect data sources. Use this skill when you need to verify data access, inspect table schemas, check row counts, or understand the structure of a dataset before performing analysis.
argythana
databases
data-analysis
0
refactoring-08-experiment-tracking
Use when organizing experiment logs, results, and metadata for Python research code.
Silviase
data-ai
productivity-tools
0
visualization-creator
Create new visualizations for the IWAC Dashboard. Use this skill when: - Adding a new chart, graph, map, or data visualization - Creating Python data generation scripts for new visualizations - Building reusable visualization components with LayerChart, D3, Leaflet (maps), or Sigma.js (networks) This skill enforces the project's patterns: Svelte 5 runes, CSS variables, i18n, shadcn-svelte, and static data generation.
fmadore
tools
productivity-tools
0
csv-data-wrangler
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tabular data files.
404kidwiz
tools
data-analysis
0
log-analytics
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
My3VM
data-ai
data-analysis
0
matlab
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
MAF2414
data-ai
data-engineering
0
python-data-transform
Transform, clean, and reshape data using pandas and numpy for ETL and data preprocessing. WHEN: Manipulating DataFrames, cleaning datasets, reshaping data (pivot, melt), merging/joining tables, data normalization, CSV/Excel processing. WHEN NOT: Creating Excel files with formatting (use python-xlsx), building APIs (use python-backend), statistical modeling.
LounisBou
data-ai
productivity-tools
0
rapidata-use
Use for Rapidata Python SDK tasks: authenticate with RapidataClient, submit labeling orders from datasets (compare/classification/ranking/free-text/locate/draw/select-words/timestamp), apply filters/settings/selections, create and manage validation sets, monitor or delete orders, retrieve results, and run MRI benchmarking (benchmarks/leaderboards/evaluations/standings). Trigger when the user wants to send data to Rapidata, control annotator targeting, improve quality with validation or early stopping, or manage Rapidata orders/results.
trojblue
tools
data-engineering
0
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
LRYuChi
data-ai