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Agent Skill · 研究检索

phoenix-skill-development(Phoenix 技能开发)

phoenix-skill-development 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

phoenix-skill-development 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,506。

总安装 1,402周安装 59GitHub Stars 9,522下载 491核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:phoenix-skill-development(Phoenix 技能开发)
来源仓库:https://github.com/arize-ai/phoenix
仓库路径:skills/phoenix-skill-development
安装命令:
npx skills add https://github.com/arize-ai/phoenix --skill phoenix-skill-development
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/arize-ai/phoenix --skill phoenix-skill-development

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。使用前建议核实是否会触发联网、命令执行或文件读写操作。

phoenix-skill-development 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/phoenix-skill-development

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/arize-ai/phoenix --skill phoenix-skill-develop…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

phoenix-skill-development 怎么安装?

在终端执行 npx skills add https://github.com/arize-ai/phoenix --skill phoenix-skill-development。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

phoenix-skill-development 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

phoenix-skill-development 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

phoenix-skill-development 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

phoenix-skill-development 用的人多吗?

公开数据是累计安装 1,402 次,近一周安装 59 次,下载 491 次,GitHub 9,522 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

phoenix-skill-development 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 9,522 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
phoenix-skill-development

Phoenix 技能开发 · 本页

1,4029,522需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skill Development

Guide for creating and refining skills in the skills/ directory of this repository. Skills are packaged instructions that teach AI agents how to work with Phoenix features.

Directory Structure

skills/
  {skill-name}/           # kebab-case, prefixed with "phoenix-" for Phoenix features
    SKILL.md              # Required: skill definition and index
    README.md             # Optional: human-oriented overview
    rules/                # Optional: detailed rule files
      {prefix}-{topic}.md
      {prefix}-{topic}-{lang}.md

Existing Skills

SkillPurposeHas Rules
phoenix-tracingOpenInference instrumentation and span typesYes (31 files)
phoenix-evalsEvaluator development and validationYes (33 files)
phoenix-cliCLI debugging and analysisNo (single SKILL.md)

Creating a New Skill

1. Plan the Scope

Determine whether the skill needs rule files:

  • Single SKILL.md (like phoenix-cli): Self-contained topics, command references, single-workflow tools
  • SKILL.md + rules/ (like phoenix-tracing, phoenix-evals): Multi-faceted topics with language-specific guides, multiple workflows, or extensive reference material

2. Create SKILL.md

Every skill requires a SKILL.md with YAML frontmatter:

---
name: {skill-name}
description: {What it does. When to use it. Include trigger phrases.}
license: Apache-2.0
metadata:
  author: oss@arize.com
  version: "1.0.0"
  languages: Python, TypeScript  # omit if language-agnostic
---

Frontmatter rules:

  • name: kebab-case, match directory name
  • description: Third person, specific, includes trigger terms
  • license: Always Apache-2.0
  • metadata.author: Use oss@arize.com for Phoenix skills
  • metadata.version: Semver string (e.g., "1.0.0")
  • metadata.languages: Only include if skill has language-specific content
  • metadata.internal: Set to true for skills not intended for public listing (e.g., skills in .agents/skills/). Omit for public skills in skills/.

3. Structure the SKILL.md Body

SKILL.md serves as the index and entry point. The agent reads this first and navigates to rule files as needed.

Required sections:

SectionPurpose
Title (# Name)Skill name with brief description
Quick ReferenceTable mapping tasks to rule files
Rule CategoriesTable of prefix patterns

Optional sections (include as relevant):

SectionPurpose
When to ApplyTrigger scenarios
WorkflowsStep-by-step paths through rules
Key PrinciplesCore decision-making guidance
Common AttributesReference tables
How to UseNavigation guidance
ReferencesExternal docs and API links

4. Organize Rule Files

Naming Conventions

Pattern: {prefix}-{topic}[-{language}].md

Prefix categories (reuse these across skills):

PrefixPurposeExample
setup-*Installation, configurationsetup-python.md
fundamentals-*Core concepts, referencefundamentals-overview.md
instrumentation-*Auto/manual setupinstrumentation-auto-python.md
span-*Span type specificationsspan-llm.md
evaluators-*Evaluator types, patternsevaluators-code-python.md
experiments-*Datasets, running experimentsexperiments-running-typescript.md
production-*Deployment, monitoringproduction-python.md
annotations-*Feedback, scoringannotations-overview.md
validation-*Calibration, testingvalidation-calibration-python.md

Language suffixes:

  • -python.md — Python-specific content
  • -typescript.md — TypeScript-specific content
  • No suffix — Language-agnostic or overview (e.g., span-llm.md, evaluators-overview.md)

Overview files: Use -overview.md suffix for conceptual introductions (e.g., fundamentals-overview.md, production-overview.md).

Flat Structure

All rule files go directly in rules/ — no subdirectories. Use prefixes for organization, not folders.

rules/
  setup-python.md            # Good: flat with prefix
  setup-typescript.md
  span-llm.md                # Good: no language suffix (language-agnostic)
  evaluators-code-python.md  # Good: prefix-topic-language

5. Write Rule Files

Standard Structure
# Title

Brief description of what this rule covers.

## Metadata (optional)

| Field | Value |
| ----- | ----- |
| Priority | 1 (Critical) |
| Setup Time | 5 minutes |

## Quick Start / Basic Pattern

Minimal working example.

## Detailed Sections

Expanded content with examples.

## See Also

- `related-rule.md` — Brief description
- [External docs](https://docs.arize.com/phoenix)
Code Examples
  • Always use fenced blocks with language tags: python, typescript, bash, json
  • Show working, copy-pasteable examples
  • Include both minimal and production-ready patterns when relevant
Cross-References
  • Reference other rule files by filename: setup-python.md, span-llm.md
  • Reference external docs with full URLs
  • Keep references one level deep (SKILL.md → rule file, not rule → rule → rule)

Refining Existing Skills

Adding a Rule File

  1. Choose the correct prefix from the table above (or establish a new one)
  2. Follow the naming convention: {prefix}-{topic}[-{language}].md
  3. Add an entry in SKILL.md under Quick Reference and Rule Categories
  4. Cross-reference related rules in the new file's "See Also" section

Updating SKILL.md

When adding content to SKILL.md, keep it as an index — move detailed content to rule files. SKILL.md should stay under 500 lines.

Improving Consistency

Common issues to fix when refining:

IssueFix
Missing metadata tableAdd Priority, Setup Time if applicable
Inconsistent headingsStandardize to ## Quick Start, ## See Also
Inline code dumpsExtract to rule files, link from SKILL.md
Missing cross-referencesAdd ## See Also with related rules
Vague descriptionsMake frontmatter description specific with trigger terms

Quality Checklist

SKILL.md

  • Frontmatter has all required fields (name, description, license, metadata)
  • metadata.internal: true is set for skills in .agents/skills/; omitted for skills in skills/
  • Description is third person, specific, includes trigger terms
  • Quick Reference table maps tasks to rule files
  • Rule Categories table lists all prefixes used
  • Under 500 lines
  • No detailed content that belongs in rule files

Rule Files

  • Follow {prefix}-{topic}[-{language}].md naming
  • Have a clear # Title and brief description
  • Include working code examples with language tags
  • Cross-reference related rules in ## See Also
  • Use consistent heading structure

Overall Skill

  • Flat rules/ directory (no subdirectories)
  • Consistent terminology throughout all files
  • Language-specific content split into -python.md / -typescript.md files
  • Language-agnostic content has no language suffix
  • No time-sensitive information (no dates, version caveats)

Anti-Patterns

Putting too much in SKILL.md. SKILL.md is an index. If a section exceeds ~30 lines of content, extract it to a rule file.

Deep reference chains. Rule files should not require reading other rule files to be useful. Each rule should be self-contained enough to act on independently.

Generic rule names. Use evaluators-code-python.md not code-eval.md. Prefixes enable discovery via ls rules/{prefix}-*.

Mixing languages in one file. Split into -python.md and -typescript.md unless the content is truly language-agnostic.

Forgetting SKILL.md updates. Every new rule file must be reflected in the SKILL.md Quick Reference and Rule Categories tables.

Workflow Summary

1. Plan scope → single SKILL.md or SKILL.md + rules/?
2. Create directory: skills/{skill-name}/
3. Write SKILL.md with frontmatter and index
4. Create rules/ directory (if needed)
5. Write rule files following naming conventions
6. Update SKILL.md index to reference all rules
7. Run quality checklist

平台分布

Codex

36.58%
按下载量换算180

Claude

29.96%
按下载量换算147

Cursor

18.67%
按下载量换算92

Gemini CLI

8.48%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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