arize-instrumentation 是做什么的？
首次为LLM应用添加Arize AX追踪。采用两阶段智能体辅助流程：先分析代码库，再在用户确认后实施仪表化。当用户希望对应用进行仪表化、从头添加追踪、设置LLM可观测性、集成OpenTelemetry或openinference、或开始使用Arize追踪时使用。
首次为LLM应用添加Arize AX追踪。采用两阶段智能体辅助流程：先分析代码库，再在用户确认后实施仪表化。当用户希望对应用进行仪表化、从头添加追踪、设置LLM可观测性、集成OpenTelemetry或openinference、或开始使用Arize追踪时使用。
这是一个用于Arize AI平台的技能，旨在帮助开发者首次为他们的LLM（大语言模型）应用添加Arize AX追踪和可观测性。它采用独特的两阶段智能体辅助工作流程：第一阶段，智能体会分析整个代码库，识别出需要仪表化的关键组件（如LLM调用、向量数据库交互等）；第二阶段，在用户确认分析结果后，智能体会自动生成并应用适当的仪表化代码。该技能特别适用于需要从头开始设置追踪、集成OpenTelemetry或openinference协议、以及建立LLM可观测性管道的场景。它支持多种开发环境，能够无缝地与现有的Python和JavaScript等项目集成。通过自动化大部分繁琐的配置和代码插入工作，该技能大大降低了为AI应用添加生产级监控和调试能力的门槛，让开发者能更专注于核心功能的开发。
npx skills add https://github.com/arize-ai/arize-skills/tree/main/skills/arize-instrumentationInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
首次为LLM应用添加Arize AX追踪。采用两阶段智能体辅助流程：先分析代码库，再在用户确认后实施仪表化。当用户希望对应用进行仪表化、从头添加追踪、设置LLM可观测性、集成OpenTelemetry或openinference、或开始使用Arize追踪时使用。
This repo contains 2 individual skills — each has its own dedicated page.
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.
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.