Skill UI

This skill guides the integration of Arize AX tracing into existing applications, especially complex LLM applications. It follows a structured, two-phase, agent-assisted flow: first analyzing the codebase (read-only) to understand dependencies, and then implementing instrumentation. It supports multi-language environments (Python, TypeScript, Java, Go) and integrates deeply with OpenTelemetry and various LLM providers, ensuring comprehensive observability without altering core business logic.

This skill guides the end-to-end process of building automated evaluation pipelines for Python applications powered by Large Language Models (LLMs). It teaches how to define evaluation criteria, instrument the application, build golden datasets, and run real-world evaluations using tools like pixie, ensuring the app's logic (not just the LLM) is rigorously tested. Ideal for QA, benchmarking, and improving LLM-based services.

The Phoenix CLI is a powerful tool for debugging complex LLM and agent workflows. It allows users to fetch detailed traces, spans, and sessions, analyze errors, and structure findings using open and axial coding techniques. It is essential for investigating complex LLM failures, building robust failure taxonomies, and guiding the next steps in application evaluation after initial instrumentation.

Guides hooking Phoenix AI services with OpenInference tracing, covering setup, spans, instrumentation, and production deployment for LLM workflows using Python or TypeScript.

Matchms is an open-source Python library designed for comprehensive mass spectrometry data processing. It handles spectrum comparison, calculates various similarity scores (like cosine and modified cosine), and aids in identifying unknown compounds. It is highly valuable for metabolomics and spectral library searching pipelines.

This skill acts as a comprehensive Music Learning Coach, guiding users through the full spectrum of music education. It covers fundamental music theory (scales, harmony), structured instrument practice routines, advanced ear training techniques, performance skills, and deep dives into music history. Ideal for beginners and advanced learners looking to build a solid, well-rounded understanding and practical ability in music.

This tool generates a comprehensive debug bundle for troubleshooting Alchemy SDK issues. It collects crucial diagnostic evidence, including connectivity tests for core, enhanced, and NFT APIs, network status across multiple chains (Ethereum, Polygon, Arbitrum), SDK version, and environment details. Use it when encountering complex blockchain query failures or preparing detailed support tickets for reliable issue resolution.

A logging wrapper designed to instrument and monitor calls to the Claude API. It automatically tracks critical metrics including token usage, API latency, estimated cost, and error details. Essential for implementing robust observability patterns and setting up proactive alerts in production environments.

Develop a complete, multi-chain wallet portfolio tracker using Alchemy's Enhanced APIs. This workflow aggregates ETH balances, ERC-20 token holdings, NFT assets (ERC-721/1155), and transaction history across major chains (Ethereum, Polygon, Arbitrum, Optimism, Base). Ideal for building sophisticated decentralized applications (dApps) and comprehensive Web3 dashboards.

This guide provides step-by-step instructions for installing the Alchemy SDK and setting up secure API key authentication. It details how to connect to multiple major blockchain networks (including Ethereum, Polygon, Arbitrum, etc.) using Alchemy's robust infrastructure. Essential for developers building decentralized applications (dApps) that require scalable, multi-chain RPC access.

This skill provides a comprehensive guide to instrumenting Algolia search services for enterprise-grade observability. It integrates core monitoring patterns, including Prometheus metrics (latency, error rates, request counts), OpenTelemetry distributed tracing, and structured logging. Use this to achieve deep insights into search performance, user experience, and system health in production environments.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.