複数のアプリやMCPホストからブランド画像・動画を生成、調整、書き出し、挿入する作業を支援します。ライブラリ選択や修正依頼も扱います。
- スライド用のブランド画像を作りたいとき
- 既存素材をフィードバックに合わせて直したいとき
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エージェントが使うAIモデルやプロバイダーを確認・切り替え、接続テストや独自エンジンの登録を行うための設定を支援します。
How to inspect and configure the AI engine (model provider) powering the agent. Use when the user asks to switch models, check which engine is active, test a new provider, or register a custom engine.
実行スコア 未検証
インストール方法を見るエージェントが現在使っているAIエンジン(モデルプロバイダー)やモデルを確認し、利用可能なエンジンの一覧、機能、選択状態を調べます。プロバイダーへの接続テストやAPIキーの確認を行い、組織の既定エンジンとモデルの切り替え、モデル選択肢の管理を支援します。サーバープラグインに独自エンジンを登録する方法も説明されています。Anthropic、OpenAI、Google Gemini、Groq、Mistral、Cohere、Ollamaなどのエンジンが記載されています。
利用中のモデルを把握したいときや、別のプロバイダーへ切り替える前に接続を確かめたいときに向いています。組織で利用できるモデルを調整する管理者や、独自のエンジンを開発する人にも役立ちます。
プロバイダーによってAPIキーが必要です。組織の既定エンジンや組織キーの設定変更はオーナーまたは管理者に限られます。Ollamaはローカル利用でAPIキー不要です。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
The framework supports pluggable AI engines beneath the agent loop. The Anthropic engine is the default and best-in-class path (Claude models). Additional engines can be added via the Vercel AI SDK (OpenAI, Google Gemini, Groq, Mistral, Cohere, Ollama).
| Tool | Purpose |
|---|---|
list-agent-engines | List all registered engines, their capabilities, the current selection, and whether you can change the organization default (canUpdateDefault) |
set-agent-engine | Set the organization's default engine and model (owners and admins only) |
test-agent-engine | Send a trivial prompt to verify the engine works (connectivity + API key) |
check-provider-key | Check a provider API key by listing the models it reaches, before saving it |
get-provider-models | Read which models each provider shows in the model picker and default-model select |
manage-provider-models | Choose those models (set) or go back to the recommended ones (reset) |
list-model-providers | What Settings › Model shows: each provider's organization and personal key (masked), rejections, the restriction, and the stored default |
list-agent-engines
Returns the registry of all engines (name, label, capabilities, supported models) plus the currently active engine and model. supportedModels is what the model picker offers: the provider's checked models when modelSelection.state is "selected", otherwise its recommendedModels. credentialRejected: true means the provider rejected that engine's saved key (credentialRejectedAt says when); chats with it stop until the key is replaced, so tell the user.
set-agent-engine --engine "ai-sdk:openai" --model "gpt-4o"
Changes take effect on the next conversation. The default belongs to the organization (the agent-engine org setting), and only owners and admins can change it. A member's call is refused with an error to relay: ask an owner or admin, or pick a model for this chat in the model picker. A user with no organization sets their own default.
Resolution order (highest priority first):
engine option passed to createAgentChatPlugin() in the server pluginagent-engine org setting)AGENT_ENGINE environment variable"anthropic" (requires ANTHROPIC_API_KEY)The Model page (/settings/model, page id model) has three groups:
manage-agent-engine set, organization models only), Restrict personal API keys (manage-provider-key-policy), and Max iterations (manage-agent-loop-settings, 1 to 1000). Owners and admins change them; members see the values.Read the page's state with list-model-providers, and the models each provider shows with get-provider-models. Keys are added and replaced in the provider dialog, which checks a pasted key by listing its models; you can't save a key for the user, so check one with check-provider-key and send them to Model (open-settings-page) to paste it. Before they remove a provider, run preview-secret-removal with the provider's key name and scope and tell them what stops.
manage-provider-key-policy reads or changes the organization's "Restrict personal API keys" setting. While it is on, members (not owners or admins) can't use or save their own provider keys or a personal Builder.io connection, so their chats use organization providers; with none, a chat fails with "Owners and admins restricted personal API keys." Nothing is deleted, and turning it off restores their keys.
manage-provider-key-policy # read; owners/admins also get affectedMembers
manage-provider-key-policy --set true # owners and admins only
Read it first and tell the user which members lose which providers before turning it on.
Before switching, verify the engine is working:
test-agent-engine --engine "ai-sdk:openai" --model "gpt-4o"
Returns { ok, latencyMs, response, capabilities }. If ok: false, the error message explains what's wrong (missing API key, package not installed, etc.).
To check a key without sending a prompt, for example one the user just gave you:
check-provider-key --provider "anthropic" --key "<the key>"
Returns { ok: true, models } or { ok: false, code, reason } (rejected, wrong-provider, missing-key, invalid-endpoint, unreachable, provider-error). Relay the reason. Omit --key to re-check the saved key; it is only checked against its saved endpoint, so --baseUrl needs --key (except for Ollama). --scope org is for owners and admins.
Each provider (Builder.io included) keeps the models its owner checked. Only checked models appear in the chat model picker and the default-model select; Builder.io and providers with their own key show side by side.
get-provider-models --provider "openai"
manage-provider-models --action "set" --provider "openai" --models '["gpt-6-sol"]'
manage-provider-models --action "reset" --provider "openai"
--scope user is the caller's own, --scope org is the organization's (owners and admins only; members get an error to relay). Without --scope, the call changes the selection in effect, which follows the key in effect (a member's personal key uses their personal selection).set with an empty list hides the provider's chat models, for a key used only by services. Builder.io accepts only its own catalog.models: null has nothing chosen and shows the recommended models. state: "unreadable" means the selection couldn't be read, not that it is empty.| Engine Name | Provider | Requires |
|---|---|---|
anthropic | Anthropic Claude SDK | ANTHROPIC_API_KEY |
ai-sdk:anthropic | Claude via Vercel AI SDK | ANTHROPIC_API_KEY |
ai-sdk:openai | OpenAI via Vercel AI SDK | OPENAI_API_KEY |
ai-sdk:openrouter | 300+ models (Anthropic, OpenAI, Google, Meta, …) routed through OpenRouter | OPENROUTER_API_KEY |
ai-sdk:google | Google Gemini via Vercel AI SDK | GOOGLE_GENERATIVE_AI_API_KEY |
ai-sdk:groq | Groq LPU via Vercel AI SDK | GROQ_API_KEY |
ai-sdk:mistral | Mistral via Vercel AI SDK | MISTRAL_API_KEY |
ai-sdk:cohere | Cohere via Vercel AI SDK | COHERE_API_KEY |
ai-sdk:ollama | Local Ollama via Vercel AI SDK | None (local) |
Each engine advertises its capabilities:
| Capability | Anthropic | AI SDK: Anthropic | AI SDK: OpenAI | AI SDK: Google |
|---|---|---|---|---|
thinking | ✓ | ✓ | ✗ | ✓ |
promptCaching | ✓ | ✓ | ✗ | ✗ |
vision | ✓ | ✓ | ✓ | ✓ |
computerUse | ✓ | ✗ | ✗ | ✗ |
parallelToolCalls | ✓ | ✓ | ✓ | ✓ |
When using the anthropic engine (or ai-sdk:anthropic):
providerOptions.anthropic.thinking — the agent reasons longer before responding.These features are silently ignored when a non-Anthropic engine is active (capability-gated, no breakage).
ai-sdk:openrouter gives access to 300+ models from many providers through a single API. Model IDs use the vendor/model form:
set-agent-engine --engine "ai-sdk:openrouter" --model "anthropic/claude-sonnet-4.5"
set-agent-engine --engine "ai-sdk:openrouter" --model "openai/gpt-4o"
set-agent-engine --engine "ai-sdk:openrouter" --model "google/gemini-2.5-pro"
Any vendor/model string from openrouter.ai/models works — the supportedModels list in the registry is a UI hint, not an allow-list.
App attribution (optional): pass appName / appUrl in the engine config to set the X-OpenRouter-Title / HTTP-Referer headers — useful to see your app on the OpenRouter dashboard and leaderboards:
createAISDKEngine("openrouter", {
apiKey: process.env.OPENROUTER_API_KEY,
appName: "My App",
appUrl: "https://myapp.example",
});
Register custom engines in a server plugin at startup. Import from the
@agent-native/core/agent/engine subpath:
// server/plugins/my-engine.ts
import {
registerAgentEngine,
type AgentEngine,
type EngineEvent,
type EngineStreamOptions,
} from "@agent-native/core/agent/engine";
registerAgentEngine({
name: "my-engine",
label: "My Custom Engine",
description: "...",
capabilities: {
thinking: false,
promptCaching: false,
vision: false,
computerUse: false,
parallelToolCalls: true,
},
defaultModel: "my-model-v1",
supportedModels: ["my-model-v1", "my-model-v2"],
requiredEnvVars: ["MY_ENGINE_API_KEY"],
create: (config): AgentEngine => ({
name: "my-engine",
label: "My Custom Engine",
defaultModel: "my-model-v1",
supportedModels: ["my-model-v1", "my-model-v2"],
capabilities: {
/* same shape as above */
} as any,
async *stream(opts: EngineStreamOptions): AsyncIterable<EngineEvent> {
// yield text-delta / thinking-delta / tool-call / usage events
// as they arrive, then:
yield { type: "assistant-content", parts: /* final content parts */ [] };
yield { type: "stop", reason: "end_turn" };
},
}),
});
Every engine's stream(opts) MUST emit, in order:
text-delta, thinking-delta, tool-call, and usage
events as they arrive from the model.{ type: "assistant-content", parts } event with the
structured content for the turn. runAgentLoop reads this to
reconstruct the assistant message for the next turn.{ type: "stop", reason } event.After registering, the engine appears in list-agent-engines output and can
be selected via set-agent-engine.
| Variable | Purpose |
|---|---|
ANTHROPIC_API_KEY | Required for anthropic and ai-sdk:anthropic engines |
OPENAI_API_KEY | Required for ai-sdk:openai |
OPENROUTER_API_KEY | Required for ai-sdk:openrouter |
GOOGLE_GENERATIVE_AI_API_KEY | Required for ai-sdk:google |
GROQ_API_KEY | Required for ai-sdk:groq |
MISTRAL_API_KEY | Required for ai-sdk:mistral |
COHERE_API_KEY | Required for ai-sdk:cohere |
AGENT_ENGINE | Default engine name (overridden by settings store) |
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複数のアプリやMCPホストからブランド画像・動画を生成、調整、書き出し、挿入する作業を支援します。ライブラリ選択や修正依頼も扱います。
特定の顧客企業について、契約と製品利用の数値を照らし合わせ、根拠や不足情報を明記した健全性レポートをまとめます。
アプリの操作をエージェントと画面の両方から呼び出せるアクションとして実装し、API連携や画面のデータ取得を一貫した形で追加するスキルです。
新機能をUI・エージェント用アクション・説明資料・画面状態の4領域でそろえ、利用者とエージェントのどちらからも一貫して使えるようにするチェックリストです。
複数のデータソースを照合して、傾向や指標、根拠をまとめた分析結果を作成します。必要に応じて、再実行できるダッシュボードとして保存できます。
Analyticsの管理画面で、機能フラグの状態確認と切り替え、ダッシュボード利用状況の調査、接続先アプリのデータベース管理を行います。