> ## Documentation Index
> Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.
# Using the OpenAI Action Templates
[Back to Actions Integrations](/ai-for-service/integrations/overview#actions)
Use prebuilt OpenAI action templates to auto-create dialog tasks for generating answers and extracting skills.
**To access templates:**
1. Go to **Automation AI** > **Use Cases** > **Dialogs** and click **Create a Dialog Task**.
2. Under **Integration**, select **OpenAI**.
3. If no integration is configured, click **Explore Integrations** to set one up. See [Actions Overview](/ai-for-service/integrations/overview#actions).
***
## Supported Actions
| Task | Description | Method |
| ----------------------------- | ----------------------------------------------------------- | ------ |
| Generate Answers from Context | Generates answers for questions based on the given context. | POST |
| Extract Skills from Resume | Extracts skills from resume content provided as input. | POST |
***
### Generate Answers from Context
1. Install the template from [OpenAI Action Templates](/ai-for-service/integrations/actions/configuring-the-openai-action#step-2-install-the-openai-action-templates).
2. The **Generate answers from context** dialog task is added with the following components:
* **answerGeneration** - User intent to generate answers.
* **paragraph** and **question** - Entity nodes for the required details.
* **answerGenerationService** - Bot action service to generate answers. Click **Edit Request**:
**Sample Request:**
```json theme={null}
{
"model": "text-davinci-003",
"prompt": "Context: Q: ",
"temperature": 0,
"max_tokens": 256,
"top_p": 1,
"frequency_penalty": 0,
"presence_penalty": 0
}
```
You can enter a maximum of 1500 words with no line breaks, single or double quotes in the content.
Click **+Add Response**:
**Sample Response:**
```json theme={null}
{
"id": "cmpl-6f2Q0ZeQIOoSpX428wUr3rp7T7zgc",
"object": "text_completion",
"created": 1675238764,
"model": "text-davinci-003",
"choices": [
{
"text": "\n\nA: Under this policy, you can avail a maximum relocation reimbursement of up to $20,000, inclusive of tax gross-up.",
"index": 0,
"logprobs": null,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 396,
"completion_tokens": 30,
"total_tokens": 426
}
}
```
* **answerGenerationMessage** - Message node to display responses.
3. Click **Train**, then **Talk to Bot** to test:
4. Enter a question based on context when prompted:
***
### Extract Skills from Resume
1. Install the template from [OpenAI Action Templates](/ai-for-service/integrations/actions/configuring-the-openai-action#step-2-install-the-openai-action-templates).
2. The **Extract Skills from resume** dialog task is added with the following components:
* **extractSkills** - User intent to extract skills from resume content.
* **resume** - Entity node for extracting skills.
* **extractSkillsService** - Bot action service to extract skills. Click **Edit Request**:
**Sample Request:**
```json theme={null}
{
"model": "text-davinci-002",
"prompt": "",
"temperature": 0.7,
"stop": "Q:"
}
```
You can enter a maximum of 1500 words with no line breaks, single or double quotes in the content.
Click **+Add Response**:
**Sample Response:**
```json theme={null}
{
"id": "cmpl-6U8OZ4pJmLgGliKfCgfBjzgUgEV5Q",
"object": "text_completion",
"created": 1672640131,
"model": "text-davinci-002",
"choices": [
{
"text": "\n\n-Advanced automated aerated system-Wi-Fi technology-ESP8266 Wi-Fi module",
"index": 0,
"logprobs": null,
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 163,
"completion_tokens": 27,
"total_tokens": 190
}
}
```
* **extractSkillsMessage** - Message node to display responses.
3. Click **Train**, then **Talk to Bot** to test.
4. Enter resume content when prompted:
5. The VA extracts skills from the resume content:
