arize-trace 是做什么的？
下载、导出并检查现有的 Arize 轨迹和跨度，以了解 LLM 应用的行为或调试运行时问题。涵盖通过 ID 导出轨迹、跨度、会话，以及使用 ax CLI 进行根因调查。当用户希望查看现有轨迹数据、了解 LLM 应用正在做什么、导出轨迹、下载跨度、调查错误或分析行为回归时使用。
下载、导出并检查现有的 Arize 轨迹和跨度，以了解 LLM 应用的行为或调试运行时问题。涵盖通过 ID 导出轨迹、跨度、会话，以及使用 ax CLI 进行根因调查。
arize-ai/arize-trace 是一款专注于 Arize 可观测性平台轨迹数据的技能，旨在帮助开发者深入理解 LLM（大语言模型）应用的运行时行为。它允许用户通过 ID 直接导出完整的轨迹、单个跨度或会话数据，从而快速定位错误或分析性能退化。该技能依赖于 ax CLI 工具，支持从 Arize 平台获取原始观测数据，以便在本地进行离线分析或调试。适用于需要检查现有轨迹、下载具体跨度、排查错误原因或评估应用行为回归的场景。
npx skills add https://github.com/arize-ai/arize-skills/tree/main/skills/arize-traceInstalled? Explore more 编程与开发 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
下载、导出并检查现有的 Arize 轨迹和跨度，以了解 LLM 应用的行为或调试运行时问题。涵盖通过 ID 导出轨迹、跨度、会话，以及使用 ax CLI 进行根因调查。当用户希望查看现有轨迹数据、了解 LLM 应用正在做什么、导出轨迹、下载跨度、调查错误或分析行为回归时使用。
This repo contains 2 individual skills — each has its own dedicated page.
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.