# Remove tags

#### 🎯 **What does this operation do?**

This operation enables the removal of tags from a card, allowing:

✅ Adjust the categorization of cards as the process evolves.\
✅ Improve task segmentation and organization.\
✅ Automate flows that remove tags after specific actions.

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### 📂 **How to Configure the "Remove Tags" Operation**

#### 1️⃣ **Access the Component**

1. In **Hablla Studio**, open the automation flow where you want to remove tags from a card.
2. Add the **Cards**.
3. In **right side panel**, select the operation **"Remove Tags"**.

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#### 2️⃣ **Fill in the Required Fields**

🔹 **Workspace ID** → Identifier of the workspace where the card is located (Required).\
🔹 **Card ID** → Unique identifier of the card that will have the tags removed (Required).\
🔹 **Tags** → Select or specify the tags you want to remove from the card (Required).

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#### 3️⃣ **Save the Configuration**

After defining the fields, click the **"Save"** ✅.

Now, whenever this automation is triggered, the tags will be automatically removed from the card.

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### 📌 **Usage Example in an Automation Flow**

📊 **Scenario**: Create a flow where, upon completing a service, the "In Service" tag is removed from the card.

1️⃣ **Block 1** → When the service status is changed to "Completed".\
2️⃣ **Block 2** → Trigger the operation **Remove Tags**, removing the "In Service" tag.\
3️⃣ **Block 3** → Send a notification to the team informing that the service has been completed.

🚀 **Result**: Cards will have their tags updated dynamically according to the service status, ensuring an organized and efficient workflow.

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### 🎉 **Conclusion**

The operation **Remove Tags** in the **Hablla Studio** is essential to keep the categorization of cards always aligned with the needs of the workflow.

If you need more support, contact our team! 🚀


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
