analysis▌

Exploratory Data Analysis (EDA) is the critical first step in data science projects, systematically examining datasets to understand their characteristics, identify patterns, and assess data quality before formal modeling.

A powerful CLI tool for trading analysis that provides stock quotes, charts, technical indicators, news, and more.

Comprehensive toolkit for analyzing Neuropixels high-density neural recordings using current best practices from SpikeInterface, Allen Institute, and International Brain Laboratory (IBL). Supports the full workflow from raw data to publication-ready curated units.

Guide the user through reading LLM pipeline traces and building a catalog of how the system fails.

This skill provides personalized feedback on your recent coding work by analyzing your Claude Code chat interactions and identifying patterns that reveal strengths and areas for growth.

Extract audience demographics, engagement patterns, and behavior data from Facebook, Instagram, YouTube, and TikTok. \n \n Supports 18+ specialized Actors covering follower demographics, engagement metrics, comments, and profile analysis across all four platforms \n Offers three output formats: quick chat display, CSV export, or JSON export for downstream analysis \n Requires Apify token and mcpc CLI tool; uses dynamic schema fetching to adapt inputs to each Actor's requirements \n Includes stru

Comprehensive market sizing framework for calculating TAM, SAM, and SOM across three methodologies. \n \n Provides three complementary approaches: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay), with formulas and validation techniques for each \n Includes step-by-step process covering market definition, data gathering, TAM/SAM/SOM calculations, and triangulation across methods \n Offers industry-specific guidance for SaaS, marketplac