Add a bug to Linear via Slack command
Published 8 months ago
Created by
Niklas Hatje
Categories
Template description
Use Case
When building a product it's important to discover and eliminate bugs as quickly as possible. Since we're using our product at n8n a lot, we wanted to make it as easy as possible for everyone to add bugs with the needed level of detail. That's why we built this workflow that allows everyone to add bugs to our Linear account easily directly from Slack
What this workflow does
This workflow waits for a webhook call within Slack, that gets fired when users use the /bug command on a bot that you will create as part of this template. It then adds the bug to Linear using a pre-defined description and a defined label. It then notifies the user about the newly added bug as you can see below:
How to create your Slack bot
- Visit https://api.slack.com/apps, click on New App and choose a name and workspace.
- Click on OAuth & Permissions and scroll down to Scopes -> Bot token Scopes
- Add the
chat:writescope - Head over to
Slash Commandsand click onCreate New Command - Use
/bugas the command - Copy the test URL from the Webhook node into
Request URL - Add whatever feels best to the description and usage hint
- Go to
Install appand click install
Setup
- Configure your Slack bot using the sticky to the left
- Fill the
Set me upnode. You can find the IDs easily using the Helper nodes section - Make sure to exchange the
Request URLin your Slack with the Prod URL of the Webhook node before activating this workflow
How to adjust it to your needs
- Add zero, one, two or many labels when creating the new ticket
- Change the Slack message according to your needs
- Change the default description for a new bug ticket
- Rename the Slack command as it works best for you
How to enhance this workflow
At n8n we use this workflow in combination with some others. E.g. we have the following things on top:
- We're using AI to classify the bugs and move them to the right team as soon as they get added to Linear (see this template)
- We also added other commands like
/painand/ideathat allow us to submit other things to Notion. You can see the workflow for that here.
Share Template
More Engineering workflow templates
Creating an API endpoint
Task:
Create a simple API endpoint using the Webhook and Respond to Webhook nodes
Why:
You can prototype or replace a backend process with a single workflow
Main use cases:
Replace backend logic with a workflow
Jonathan
Joining different datasets
Task:
Merge two datasets into one based on matching rules
Why:
A powerful capability of n8n is to easily branch out the workflow in order to process different datasets. Even more powerful is the ability to join them back together with SQL-like joining logic.
Main use cases:
Appending data sets
Keep only new items
Keep only existing items
Jonathan
+11
Back Up Your n8n Workflows To Github
This workflow will backup your workflows to Github. It uses the public api to export all of the workflow data using the n8n node.
It then loops over the data checks in Github to see if a file exists that uses the workflow name. Once checked it will then update the file on Github if it exists, Create a new file if it doesn't exist and if it's the same it will ignore the file.
Config Options
repo_owner - Github owner
repo_name - Github repository name
repo_path - Path within the Github repository
>This workflow has been updated to use the n8n node and the code node so requires at least version 0.198.0 of n8n
Jonathan
More Product workflow templates
+5
🚀 Boost your customer service with this WhatsApp Business bot!
This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot.
After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message.
In case user sends a message to the bot, the text and user data is stored in Google Sheets.
To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node.
Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉
Setup Instructions
To get this workflow up and running, you'll need to:
👇 Create a WhatsApp template message on the Meta Business portal.
Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages.
Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal.
Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates.
Connect your Google Sheets account for data storage and management. Check out the documentation page.
⚠️ Important Notes
WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent.
The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
Eduard
+9
Actioning Your Meeting Next Steps using Transcripts and AI
This n8n workflow demonstrates how you can summarise and automate post-meeting actions from video transcripts fed into an AI Agent.
Save time between meetings by allowing AI handle the chores of organising follow-up meetings and invites.
How it works
This workflow scans for the calendar for client or team meetings which were held online. * Attempts will be made to fetch any recorded transcripts which are then sent to the AI agent.
The AI agent summarises and identifies if any follow-on meetings are required.
If found, the Agent will use its Calendar Tool to to create the event for the time, date and place for the next meeting as well as add known attendees.
Requirements
Google Calendar and the ability to fetch Meeting Transcripts (There is a special OAuth permission for this action!)
OpenAI account for access to the LLM.
Customising the workflow
This example only books follow-on meetings but could be extended to generate reports or send emails.
Jimleuk
+6
Notion AI Assistant Generator
This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion database. Simply provide the Notion database URL, and the workflow downloads the schema and creates a tailored AI assistant designed to interact with that specific database structure.
Set Up
Watch this quick set up video 👇
Key Features
Instant Assistant Generation**: Enter a Notion database URL, and the workflow produces an AI assistant configured to the database schema.
Advanced Querying**: The assistant performs flexible queries, filtering records by multiple fields (e.g., tags, names). It can also search inside Notion pages to pull relevant content from specific blocks.
Schema Awareness**: Understands and interacts with various Notion column types like text, dates, and tags for accurate responses.
Reference Links**: Each query returns direct links to the exact Notion pages that inform the assistant’s response, promoting transparency and easy access.
Self-Validation**: The workflow has logic to check the generated assistant, and if any errors are detected, it reruns the agent to fix them.
Ideal for
Product Managers**: Easily access and query product data across Notion databases.
Support Teams**: Quickly search through knowledge bases for precise information to enhance support accuracy.
Operations Teams**: Streamline access to HR, finance, or logistics data for fast, efficient retrieval.
Data Teams**: Automate large dataset queries across multiple properties and records.
How It Works
This AI assistant leverages two HTTP request tools—one for querying the Notion database and another for retrieving data within individual pages. It’s powered by the Anthropic LLM (or can be swapped for GPT-4) and always provides reference links for added transparency.
Max Tkacz
