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phoenix-skill-developmentPhoenix 技能开发

Agent Skill

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。

总安装

1,402

周安装

59

GitHub Stars

9,522

下载量

491
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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