DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API

DART Python bindings (dartpy) - nanobind, wheel building, API patterns

DART testing patterns - unit tests, integration tests, CI validation

darwin-godwin-machine

Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment

Generate professional, client-ready dashboards from data files with clean design (no CURV branding). Detects patterns, creates visualizations, provides insights. Perfect for client presentations and professional reporting.

Automatically convert uploaded data (CSV, Excel, JSON) into complete interactive dashboards with zero user input required. Detects patterns in PPC reports, sales data, analytics exports, and business metrics - then generates insights, recommendations, and visualizations instantly. Works seamlessly with CURV design system for on-brand outputs with tabs, funnels, filters, and multi-view layouts.

Create a new screen in the Multi-site Dashboard with automatic route registration

Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.

Мультиаккаунтный дашборд. Статистика по всем аккаунтам с детализацией до уровня объявлений.

Best-practice kit for BI dashboard layout, storytelling, and adoption.

Trading dashboard P&L visualization with profit tracker integration, win-rate overlays, R-multiples, and configurable settings

GPU-accelerated frame extraction for Movie_F dashcam videos. This skill should be used when the user needs to extract frames from Movie_F category dashcam videos placed in the Desktop CARDV folder. Extracts 3 frames per video (BEGIN, MIDDLE, END) using NVIDIA CUDA acceleration with automatic gap analysis, parallel processing, and strict error handling. This is specifically designed for Movie_F category only.

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Dynamic Application Security Testing execution and management. Configure and execute OWASP ZAP and Nuclei scans, run authenticated scanning, manage scan policies and scope, correlate findings with SAST results, and generate comprehensive vulnerability reports.

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Database access layer guidelines for Quantum Skincare's Prisma-based data-access library. Covers Prisma schema design, DAO patterns, UUID primary keys, PostgreSQL role-based access control (RBAC), migration workflows, type-safe queries, transaction handling, soft deletes, and testing strategies. Use when working with Prisma schema, DAOs, database migrations, or data access patterns in libs/data-access.

Implement data access for the .NET 8 WPF widget host app using EF Core or Dapper. Use when creating repositories, unit of work, migrations, DbContext configuration, and query patterns while keeping clean architecture boundaries.

Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.

Product management data analysis skill for defining metrics, building funnels/cohorts, diagnosing growth/retention, designing experiments, and translating insights into product actions. Use for tasks like metric trees, event taxonomy, dashboard requirements, SQL-style analysis plans, and decision memos.

This skill provides tools and templates for analyzing datasets and generating insights.

data-analyst-export

데이터 분석 전문가. pandas, numpy, 시각화, 통계 분석 지원.

Expert in business intelligence, SQL, data visualization, and translating data into actionable business insights.

data-analyst-sql-optimization

This skill should be used when analyzing business sales and revenue data from CSV files to identify weak areas, generate statistical insights, and provide strategic improvement recommendations. Use when the user requests a business performance report, asks to analyze sales data, wants to identify areas of weakness, or needs recommendations on business improvement strategies.

Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.

Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets

Detect and mask PII (names, emails, phones, SSN, addresses) in text and CSV files. Multiple masking strategies with reversible tokenization option.

Single source of truth patterns, facts.ts structure, type safety, and data helper functions. Use when working with project data or adding new facts.

Using data-* attributes as the HTML/CSS/JS bridge for state, variants, and configuration. Use when managing element state, styling variants, or configuring behavior without JavaScript classes.

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

Backup and manage game data including maps, NPCs, and configurations. Use when the user wants to backup data, create snapshots, export data, or restore from backups.

Manage metadata, lineage, and discovery.

Data classification framework including sensitivity levels, handling requirements, labeling, and data lifecycle management

Generates comprehensive data cleaning and preprocessing pipelines using pandas, polars, or PySpark with best practices for handling messy data.

Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation

Clean and standardize vehicle insurance data following established business rules.

Operating model for defining, enforcing, and auditing BI data contracts.

Create, validate, test, and manage data contracts using the Open Data Contract Specification (ODCS) and the datacontract CLI. Use when working with data contracts, ODCS specifications, data quality rules, or when the user mentions datacontract CLI or data contract workflows.

Data contracts สำหรับกำหนด schema, quality expectations และ SLAs ระหว่าง data producers และ consumers

Data modeling, schema design, and data architecture

Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.

Use when user needs scalable data pipeline development, ETL/ELT implementation, or data infrastructure design.

Use this skill when designing or reviewing data pipelines, ETL processes, data warehouses, streaming systems, or any system where data movement, transformation, and quality are primary concerns. Applies data engineering thinking to specifications, designs, and implementations.

Explore and analyze pilot data sets to uncover patterns, anomalies, and initial insights. Use when performing ad-hoc data investigations, validating data quality, or preparing exploratory visualizations for hypothesis generation.

Export analysis results, data tables, and formatted spreadsheets to Excel files using openpyxl. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.

Create professional PDF reports with text, tables, and embedded images using reportlab. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).