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arize-prompts

| 2026-09-05 收录

工具 最近更新08-24
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📦 榜单安装量
47
⭐ GitHub Stars
fork 8
2026-08-24
🗓️ 最近推送
2026-03-05
🌱 项目创建
💻 Python · MIT · 🐛 开放 Issue:30

📝 工具简介

通过 ax CLI 管理 Arize 数据集、实验和追踪的代理技能。

📖 怎么用

安装很简单,在终端跑 `npx skills add Arize-ai/arize-skills --skill "*" --yes` 就能装全部技能,或者用 `npx skills add Arize-ai/arize-skills` 挑着装。想手动装也行,`git clone https://github.com/Arize-ai/arize-skills.git` 后进目录跑 `./install.sh --project ~/my-project`(Windows 用 `.\install.ps1 -Project ~\my-project`)。装完直接用 `ax skills install` 交互式初始化,或 `ax skills install --agent claude-code --yes` 指定 agent 非交互安装。用的时候直接给 coding agent 下指令,比如“给应用加 tracing”,它会自动处理 ax CLI 参数和数据格式,不用你操心。

📋 迷你测评

针对Arize平台的Agent技能,走ax CLI操作数据集、实验和追踪。亮点是直接对接可观测性工作流。适合已经在用Arize的团队。

📄 README 要点

这是一套给AI编程助手用的技能包,专门帮你在LLM应用里加可观测性、跑实验和优化提示词。它把Arize平台沉淀的工作流直接编码成技能,自动处理命令行参数、数据格式这些麻烦事,你就不用记那些细节了。支持Cursor、Claude Code、Codex、GitHub Copilot等40多种编程助手。用法很简单,直接让你的编程助手去安装这个技能,然后让它用arize instrumentation技能给你的应用加追踪,它会自动装好、插桩、验证数据能传到Arize AX,全程一个会话搞定,你只需要提供凭证和批准代码改动就行。适合想快速给AI应用加监控和调试能力的开发者。

查看英文原文
Arize Skills Skills that guide AI coding agents to help you add observability, run experiments, and optimize prompts for your LLM applications. These skills encode the workflows we've refined building the Arize platform and helping teams debug LLM apps in production. They handle the ax CLI flags, data shape quirks, and multi step recipes so you don't have to. Works with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and 40+ other agents. New to Arize? Start Here Adding tracing to your app — give your coding agent this prompt: Install Arize skills from https://github.com/Arize ai/arize skills and use the arize instrumentation skill to add tracing to this application. The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes. Already have traces? Give your agent this prompt to install the skills and start debugging: Install Arize skills from https://github.com/Arize ai/arize skills, then use the arize trace skill to export and analyze recent traces from my project. Summarize any errors or latency issues you find. Installation Option 1: npx (recommended) Install all skills non interactively — this is what the agent runs for the prompt above: [安装/使用命令见下方] Want to hand pick skills, agent, and scope yourself? Drop the flags for the interactive wizard: [安装/使用命令见下方] Both auto detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place. Option 2: git clone macOS / Linux: [安装/使用命令见下方] Windows (PowerShell): [安装/使用命令见下方] The installer detects installed agents and optionally installs the ax CLI. Use global / Global instead to install to /. /skills/ . Option 3: ax CLI If you already have ax installed (v0.9.0+): [安装/使用命令见下方] Use agent (repeatable) to target specific agents: claude code, cursor, codex, windsurf. Pass global to install globally in /. /skills/ instead of your project, or yes to skip confirmations. Option

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数据来源:skills.sh 榜单 + GitHub 公开数据,非人工实测,仅供参考

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