Skills and MCP tagged “arize”

arize-prompt-optimization official arize skill This skill analyzes prompts through production traces, evaluations, and annotations. Use it when you need better model responses or want to debug a system prompt. GitHub Copilot 1,100installs arize-instrumentation official arize skill This skill helps add Arize AX tracing to an LLM application. The agent inspects the project first, then proposes instrumentation for approval. GitHub Copilot 1,100installs arize-experiment official arize skill Runs Arize experiments with the ax CLI to benchmark models and export evaluation scores across dataset versions. GitHub Copilot 1,100installs arize-evaluator official arize skill Runs LLM-as-judge workflows in Arize for spans and experiments, with evaluator management, task control, column mapping, and continuous monitoring. GitHub Copilot 1,100installs arize-dataset official arize skill This skill manages Arize datasets and examples through ax. Use it for test sets, evaluation examples, and dataset exports. GitHub Copilot 1,100installs arize-annotation official arize skill Creates annotation schemas and review queues in Arize, then updates span labels through the Python SDK. Use it for human review workflows. GitHub Copilot 1,100installs arize-ai-provider-integration official arize skill Manage Arize AI integrations for language model providers: create connections, inspect their settings, and update or remove them. Use it when configuring models for Arize evaluators or other Arize features. GitHub Copilot 1,100installs phoenix-cli official arize-ai skill A GitHub Copilot skill that drives the Phoenix CLI to pull traces, spans and sessions, then turns what it finds into a failure taxonomy for your LLM app. GitHub Copilot 1,000installs arize-ax official Arize AI plugin The plugin adds Arize AX skills for tracing, evaluating, and tuning LLM applications. Use it to inspect traces, run experiments, and optimize prompts. GitHub Copilot ★ 40,369repo stars