Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Create clear, comprehensive technical documentation for developers and users. Use when documenting APIs, writing user guides, creating tutorials, or setting up documentation sites. Covers API...
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced...
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced...
Query official Microsoft documentation to understand concepts, find tutorials, and learn how services work. Use for Azure, .NET, Microsoft 365, Windows, Power Platform, and all Microsoft...
Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report...
Expert technical documentation specialist for developer docs, API references, and runbooks. Activate on: documentation, docs, README, API reference, technical writing, user guide, runbook, ADR,...
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas,...
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy...
Write comprehensive technical documentation including user guides, how-to articles, system architecture docs, onboarding materials, and knowledge base articles. Creates clear, structured...
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.
Effective technical documentation - knowing what to write, for whom, and when. From code comments to architecture docs, making knowledge accessible and maintainableUse when "documentation,...
Use when user has learning content (YouTube transcripts, articles, tutorials) and wants to make it actionable. Triggers include "turn this into a plan", "make this actionable", "I watched/read X,...
Justin's personal blog writing style for Hugo site content. Triggers: blog posts, weekly updates, technical tutorials. Covers conversational tone, honest reflection, technical accessibility,...
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or...
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or...