Create AI スキル

Enhance your automations with the power of 生成 AI by creating reusable AI スキル in AI エージェント Studio. AI スキル enable Pro Developers configure prompts, parameters, file inputs, and model connections to produce contextual and consistent AI outputs that can be reused across multiple solutions.

AI スキル are created by selecting a モデル接続, configuring prompt logic, and making the skill available to Citizen Developers and Pro Developers for automation building.

Vendors Types Model Supported file types
Amazon Bedrock

Standard

 Amazon Nova Lite, Amazon Nova Pro png, jpeg, gif, webp

Anthropic Claude 3.5 Sonnet, Anthropic Claude 3.5 Sonnet v2, Anthropic Claude 3.7 Sonnet, Anthropic Claude 4 Sonnet, Anthropic Claude Sonnet 4.5

png, jpg, jpeg, gif, webp, csv, xls, xlsx, html, txt, md, doc, pdf, docx
Amazon Nova Micro -
Fine tuned Amazon Nova Lite, Amazon Nova Pro png, jpeg, gif, webp
知識ベースに基づく Amazon Nova Lite, Amazon Nova Pro, Amazon Nova Micro -
Automation Anywhere

Standard

Claude Sonnet 4, GPT-4o

 -
Grounded by Enterprise knowledge - -
Azure OpenAI

Standard

 GPT 3.5 Turbo, GPT-4, GPT-5, GPT-5 Mini -
GPT-4.1, GPT-4o, GPT-4o mini png, jpg, jpeg, gif, webp

Fine tuned

 GPT 3.5 Turbo, GPT-4, GPT-4 Turbo Preview -
GPT-4.1, GPT-4o, GPT-4o mini png, jpg, jpeg, gif, webp

AI 検索によって基盤を整えられた

GPT 3.5 Turbo, GPT-4, GPT-4.1, GPT-4o -
Google Vertex AI Standard

Anthropic Claude 3.5 Sonnet, Anthropic Claude 3.7 Sonnet, Anthropic Claude Sonnet 4

 png, jpg, jpeg, gif, webp
Gemini 2.5 Flash, Gemini 2.5 Pro pdf, png, jpg, jpeg
Fine tuned Gemini 2.5 Flash, Gemini 2.5 Pro pdf, png, jpg, jpeg
データ ソースに基づく Gemini 2.5 Flash, Gemini 2.5 Pro -
OpenAI Standard GPT 3.5 Turbo, GPT-4, GPT-4 Turbo Preview, GPT-5, GPT-5 mini -
GPT-4.1, GPT-4o, GPT-4o mini png, jpg, jpeg, gif, webp
Fine tuned GPT 3.5 Turbo, GPT-4, GPT-4 Turbo Preview -
GPT-4.1, GPT-4o, GPT-4o mini png, jpg, jpeg, gif, webp
Note: Some models support multimodal inputs, enabling the AI スキル to process images and documents in addition to text. These capabilities are available only for supported generative AI models, and vary based on the model vendor.

This topic walks you through the steps of creating AI スキル.

Prerequisites

A Pro Developer requires these roles and permissions to create and test an AI スキル.
  • Role: AAE_Basic, Pro Developer Custom role
  • Permission: Bot Creator
  • Setting: Administration > Settings > AI Data Management > Data logging settings must be enabled. The Automation Admin can enable this setting for the Pro Developer

See ロールおよび権限

Other requirements:

As part of testing the モデル接続, you would have to run the Bot on your desktop. Hence ensure the Bot エージェント is configured to your user. If you have to switch connection to a different Control Room, see: Control Room インスタンス間でのデバイス登録の切り替え.

Procedure

  1. Create a new AI スキル.
    1. Log in to the Control Room.
    2. Navigate to Automation > Create or click the ‘+’ icon and select AI Skill.
    3. Enter a name and description and then click Create & edit. Let us create an example with the name Patient Discharge Agent.
  2. Model connection: Choose a モデル接続. At the top of the AI スキル editor, click Choose... under モデル接続 to open the list of モデル接続 assigned to you.
    Once selected:

    • The Model connection name, vendor, and Description appear in the header.

    • Parameter fields such as Frequency Penalty, Presence Penalty, N, Max Tokens, Temperature, and Top P become editable.

    These defaults are tailored to the selected model but can be adjusted as needed.

  3. System prompt (Optional): Use this to define high-level context or behavioral guidelines. If the selected モデル接続 supports the システム プロンプト, you will see a システム プロンプト section. For more information on システム プロンプト, see システム プロンプト. For example:You are a Family Physician creating a comprehensive patient discharge plan.
  4. User prompt: Enter instructions the model. You reference string inputs using $variableName$ syntax. The user prompt supports multi-line text entry and the expanding text area as shown in the screenshot. For example: Create a verbose patient discharge plan... Use the following $patientdetails$ to create the heading…
  5. Prompt Input: (right side)
    String inputs:
    • Click Add String or + to add an input string. Enter a Key and Value.
    • Shows variables created for text-based inputs.
    • Each input includes a name, value, and actions (copy, delete).
    • Example: patientdetails.
    File inputs:
    • Click Add File or + to add a file string. Enter a Key and Value.

    • Choose a file from the Control Room repository or upload a new one. Supported file types include:

      • Images: .jpeg, .jpg, .png, .gif, .webp

      • Documents: .txt, .pdf, .docx, .csv

    AI スキル parameters
    Note: Model-specific restrictions on file size, supported types, and maximum file count are automatically enforced.
  6. File prompt (optional): The File prompt section is displayed only when the selected model supports multimodal input. If you have added files, you will be able to select the files from the drop-down. It controls which file inputs (from the right-side file panel) are included in the final request sent to the model.
    Note: Files attached to an AI スキル are not processed by AI ガードレール for data masking.

    Guardrails evaluate and mask text prompts only.

    File contents are passed directly to the model exactly as provided.

    Note: Multimodal input support (images and documents) is available only for select generative AI models. Supported models include Amazon Bedrock (Nova and Claude Sonnet variants), Azure OpenAI (GPT-4.1, GPT-4o, GPT-4o-mini), OpenAI (GPT-4.1 and GPT-4o), and Google Vertex AI (Gemini 2.5 and Claude Sonnet models). The maximum number of files and allowable file sizes depend on the selected model connection. Automation 360 enforces the vendor’s limitations automatically.
  7. Get response: Use Get response to preview the result using the selected モデル接続. You can test your AI スキル with the AI ガードレール. Use the Test with AI Guardrail option to simulate the impact of selected guardrails on your prompts and model responses. If a guardrail is chosen, the prompt will be scanned for toxicity and sensitive data. If no guardrails are selected, no guardrail evaluations will be performed on the prompts.
    Note: To use Test with AI Guardrail, the AI ガードレール must be enabled in the global admin settings and you will need View AI Guardrails and View Settings permissions. You can review the audit trail within AI ガバナンス for a detailed record of each test.

    When you are testing with a guardrail you will see the Toxicity for both ユーザー プロンプト and Response. To view the results of data masking, click view data masking execution. It will display the tokenized masked values of any sensitive data identified in the prompt.

    When an AI スキル sends a prompt that violates a blocking rule defined in an active guardrail, the automation using that skill will stop execution with an error message and no response from LLM. The error message will typically indicate that the prompt has been blocked by a guardrail. For more information on setting up Toxicity rule, see AI ガードレールの作成と管理.

  8. Data Logging: A toggle appears at the top-right of the screen: Data logging disabled. .

    When enabled: The toggle switches toData logging enabled. The system logs the prompt, response, and the model parameters and file metadata to AI > Governance > AI prompt log

    When disabled: Only minimal metadata is captured.

    Developers can decide how much information is logged based on the sensitivity of the content.

    Note: AI ガバナンス does not store the contents of uploaded files or its metadata.

Example:

Click on the ellipsis next to an AI スキル to view and access actions available to the Pro Developer.

AI スキル actions

Actions Function
Move AI スキル Click on this action to select the location where you want to move the AI スキル to, as per your folder permissions.
Check in the AI スキル Allows you to check in an AI スキル to a different folder. The Status of the AI スキル is updated and it displays the folder you checked in the AI スキル. Example: if you checked in the AI スキル to the Public folder, then the Status label displays Public.
View AI スキル Opens the AI スキル displaying details.
Edit AI スキル Lets you edit the AI スキル.
Note: The Pro Developer has this permission.
Copy AI スキル Lets you copy an existing AI スキル to create a new one with the same details. You have to provide a different name though, as there cannot be duplicates of an AI スキル.
Note: The Pro Developer has this permission.
View references Lets you view references to other Bot that are directly dependent on the current one where this AI スキル has been used.
Delete AI スキル Lets you delete an AI スキル.
Note: The Pro Developer has this permission.

Next steps

Your next step would be to check-in the AI スキル to make it available to Citizen Developers from the AI スキル パッケージ.

Why would you check-in an AI スキル?

After creating an AI スキル, check it into the Public folder. This will let the Pro Developer, and Citizen Developer use it from the AI スキル パッケージ in the production environment.

For reference, see:

A タスク Bot, with one or multiple embedded AI スキル can be added to a larger automation that would run a complete workflow scenario.

Note: When you create or test an AI スキル in the AI Skills screen, the success or failure details along with the model responses can be viewed in Administration > Audit log and Administration > AI governance navigation. See AI ガバナンス

As the next step in your sequence of tasks, go to AI スキル でのタスク Botの使用.