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phoenix-pxi

Development guide for the Phoenix PXI agent. Use when modifying PXI-specific frontend or backend behavior, extending PXI tool wiring, updating PXI runtime capabilities, or changing the PXI agent request/dispatch flow. Start here for PXI-specific workflows, then read the relevant resource file for the layer you are changing.

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o phoenix-pxi.zip https://jpskill.com/download/23157.zip && unzip -o phoenix-pxi.zip && rm phoenix-pxi.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/23157.zip -OutFile "$d\phoenix-pxi.zip"; Expand-Archive "$d\phoenix-pxi.zip" -DestinationPath $d -Force; ri "$d\phoenix-pxi.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して phoenix-pxi.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → phoenix-pxi フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-18
取得日時
2026-05-18
同梱ファイル
1
📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Phoenix PXI Development

Phoenix has a built-in AI assistant named PXI (pronounced "pixie"). PXI is the user-facing name for the assistant feature — backend configuration (env vars, project names) uses generic agents/assistant naming, not "PXI".

The model-facing surface (tool definitions, system-prompt assembly, capability guidance) is server-owned. The browser is responsible for execution and dispatch only. Adding or editing a PXI tool almost always touches both the server and the frontend; this index spans both layers.

Architecture At A Glance

  • Server-owned, model-facing:
    • All tool ToolDefinitions sent to the LLM.
    • Capability prompt guidance.
    • System prompt assembly will live here in the next iteration.
  • Browser-owned, execution-only:
    • Tool runtime handlers and input parsers.
    • UI state, capabilities snapshot, and per-turn UI context payload.
  • Shared contract: tool name is the integration key between server advertisement and browser dispatch.

Resources

Read the relevant file(s) based on the task:

Resource file When to read
resources/extending-tool-registry.md Adding, editing, or removing a PXI tool — server advertisement, browser execution, capability gating, request/dispatch flow
resources/system-prompt-xml-conventions.md Adding to, editing, or reviewing the PXI agent system prompt or any module that contributes lines to it
resources/per-turn-context-and-cache-management.md Injecting per-turn page or UI state into a chat request; sanitizing user-controlled values; preserving prompt-cache prefixes

When To Add Which Tool Type

PXI has three tool execution targets. Pick the type before writing code; converting later means moving the schema and handler.

Tool type Execution location Available when Dispatch path Server location Browser location
External (static) Browser Always advertised Server emits ToolDefinition(kind="external"); the data-stream protocol forwards the call to the browser; the AI SDK dispatches to the registered handler src/phoenix/server/agents/tools/external/<tool>.py registered via EXTERNAL_TOOLS in registry.py; surfaced through resolve_tools Handler entry in app/src/agent/extensions/toolRegistry.ts
Contextual (executes_on="client") Browser, gated on UI context Only when the user's resolved Phoenix UI context provides every required context name Same as External; advertised conditionally by resolve_tools src/phoenix/server/agents/tools/<tool>.py registered via CONTEXTUAL_TOOLS in registry.py Handler entry in app/src/agent/extensions/toolRegistry.ts, plus a registeredClientActions entry mounted by the React component that owns the UI surface
Contextual (executes_on="server") Server Only when required UI context is present Server build_callable invoked in-process by the data-stream loop; result streamed back as a tool output chunk src/phoenix/server/agents/tools/<tool>.py registered via CONTEXTUAL_TOOLS; provides a build_callable taking (ToolExecutionEnv, ResolvedContexts) None

Decision Matrix

Question If yes → tool type
Does the tool only need to read or compute over Phoenix data the server already has authenticated access to? Contextual, executes_on="server"
Does the tool mutate browser state (filters, forms, navigation) or use a browser-only runtime (just-bash sandbox, IndexedDB, page DOM)? Contextual or External, executes_on="client"
Does the tool only make sense on a specific page or against a specific resource (project, trace, span)? Contextual (server- or client-executed)
Is the tool always relevant to the agent regardless of route or selection? External
Does the tool require credentials, secrets, or privileged DB writes? Contextual, executes_on="server" (never client)
Could the tool be invoked from any page and is its output independent of the current selection? External

Anti-Patterns

  • Don't advertise client-executed tools that depend on UI state without using the contextual registry; always-advertised tools that fail because the page changed produce noisy model errors.
  • Don't push browser-mutation logic to the server through a contextual server tool. The server has no DOM and cannot honor the user's current view.
  • Don't duplicate a tool's JSON schema on the frontend. The server is the single source of truth for the model-facing schema; the browser only needs an input parser.
  • Don't put privileged shell or DB authorization checks inside browser code. Translate capabilities into a trusted runtime policy at the execution boundary.

Verification

Use layer-appropriate verification for the PXI surface you touched.

Refer to the makefile for verification commands.