Data & Analytics

Configura el seguimiento operativo que necesitas para no volar a ciegas. Elige lo que necesitas: una sola métrica que capturo a diario contra tu almacén de datos, o una especificación completa de dashboard con secciones, visualizaciones, cadencia y SQL de solo lectura detrás de cada gráfico. Yo redacto la especificación, tú o tu herramienta de BI la renderiza.

Use when several marimo notebooks should be reachable at once rather than one `marimo run` per file — 'serve my notebooks', 'host the marimo apps', 'run all the notebooks', 'give me a URL for these notebooks', 'share these dashboards', 'put this on the LAN', 'expose marimo on the tailnet', 'JupyterLab-but-for-marimo', 'let my coauthor click through these'. Also covers the editor-on-a-directory case. NOT for authoring or debugging one notebook (marimo) and NOT for pairing on a live kernel (mar...

ALWAYS use before touching a notebook as text or running one headlessly - "convert this notebook to a .py", "turn this script into a notebook", "get this ipynb into git", "the notebook diffs are unreadable", "keep the .py and .ipynb in sync", "run this notebook end to end", "execute the notebook with these parameters", "papermill", "jupytext", "add an R/Stata/SAS kernel", "share data between kernels". Use even when the user only says "just run the notebook" - never claim a notebook ran withou...

ALWAYS use for ANY substantive empirical task whose output is a dataset, table, figure or number - \"analyze this data\", \"build the panel\", \"merge these datasets\", \"run the regression\", \"profile this dataset\", \"clean this file up for analysis\", \"make me a summary table\", \"pull the data and check X\", \"replicate this paper's table 2\", \"build the ETL pipeline\", \"/ds\". Use proactively even when the user asks casually and never says \"analysis\". NEGATIVE ROUTING: grading empi...

Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable sc...

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

Agent skill for resource-allocator - invoke with $agent-resource-allocator

Agent skill for performance-monitor - invoke with $agent-performance-monitor

Agent skill for data-ml-model - invoke with $agent-data-ml-model

Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator

Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

SwiftUI 架构模式，使用 @Observable 进行状态管理，视图组合，导航，性能优化，以及现代 iOS/macOS UI 最佳实践。

Kotlin协程与Flow在Android和KMP中的模式——结构化并发、Flow操作符、StateFlow、错误处理和测试。

Coroutine'ler, null safety ve DSL builder'lar ile sağlam, verimli ve sürdürülebilir Kotlin uygulamaları oluşturmak için idiomatic Kotlin kalıpları, en iyi uygulamalar ve konvansiyonlar.

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled e...

Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".

Portfolio health dashboard and risk matrix analysis. Usage: /project-health <dashboard|risk> [options]