> For the complete documentation index, see [llms.txt](https://docs.jobfront.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jobfront.io/job-boards/slack-integrations.md). # Slack Integrations The Jobfront < - > Slack integration pushes new jobs found in your Jobfront account into Slack automatically. Jobs will be pushed in batches, roughly 1-2 times per day ### Result - Slack Job Alerts Here is what job alerts from this integration look like in Slack

### Configuration in Jobfront Login to your admin account at to get started

Select 'Integrations' to begin Slack setup

You'll be redirected to Slack where you can select the required channel to add Jobfront

Select any public channel in your Slack account, likely a #Jobs channel

When finished successfully, you'll see an alert and a helpful note. Your Jobfront < - > Slack integration is live!

If set up successfully, you will see a message posted in your public Slack channel verifying that the integration is live

Congrats! Job alerts will arrive a few times per day in batches --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.jobfront.io/job-boards/slack-integrations.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.