Skill UI

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

Automates the creation of Airflow DAGs for ETL and streaming data workflows, offering best-practice guidance, production-ready code samples, and validation against common pipeline standards.

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

Guides you through building Airflow operators for data pipelines with automated best practices, production-ready code/config generation, and validation for ETL, transformation, orchestration, and streaming scenarios.

A comprehensive tool for analyzing Decentralized Exchange (DEX) liquidity pools across major protocols (e.g., Uniswap, Curve). It calculates vital metrics such as Total Value Locked (TVL), trading volume, fee income, and impermanent loss (IL). Use this when comparing LP opportunities, assessing protocol risk, or projecting returns from yield farming.

A comprehensive tool for analyzing Decentralized Exchange (DEX) liquidity pools across major protocols (e.g., Uniswap, Curve). It calculates vital metrics such as Total Value Locked (TVL), trading volume, fee income, and impermanent loss (IL). Use this when comparing LP opportunities, assessing protocol risk, or projecting returns from yield farming.

A powerful tool designed to monitor blockchain mempools, analyzing pending transactions, gas price fluctuations, detecting DEX swaps, and identifying potential MEV opportunities. It is essential for advanced crypto traders, MEV researchers, and protocol developers who need to optimize transaction timing and gas costs across multiple EVM chains (Ethereum, Polygon, Arbitrum, etc.).

A powerful tool designed to monitor blockchain mempools, analyzing pending transactions, gas price fluctuations, detecting DEX swaps, and identifying potential MEV opportunities. It is essential for advanced crypto traders, MEV researchers, and protocol developers who need to optimize transaction timing and gas costs across multiple EVM chains (Ethereum, Polygon, Arbitrum, etc.).

A comprehensive skill for analyzing Non-Fungible Tokens (NFTs). It fetches collection metadata from APIs (like OpenSea), parses trait attributes, and calculates advanced rarity scores using multiple algorithms (e.g., rarity_score, information entropy). Use this tool to rank tokens by uniqueness, compare specific NFTs, or analyze the distribution of traits within an entire collection, outputting results in JSON or CSV format. Ideal for crypto research and market due diligence.

This tool analyzes cryptocurrency options flow from major derivatives exchanges (e.g., Deribit). It tracks open interest, calculates put/call ratios, and analyzes implied volatility to identify institutional positioning, gauge market sentiment, and detect significant trading activity (block trades) in BTC and ETH options. It is essential for quantitative traders and market analysts seeking to predict market movements.

This tool analyzes cryptocurrency options flow from major derivatives exchanges (e.g., Deribit). It tracks open interest, calculates put/call ratios, and analyzes implied volatility to identify institutional positioning, gauge market sentiment, and detect significant trading activity (block trades) in BTC and ETH options. It is essential for quantitative traders and market analysts seeking to predict market movements.

Automatically activates when chart type recommender needs arise, guiding data analysts through SQL, visualization, statistics, and BI patterns to deliver production-ready recommendations.