Each new issue
Triage new GitHub issues
Each new issue gets an AI summary and suggested label, posted to your team's Slack channel.
- Runs
- Each new issue
- Apps
- GitHub, Slack
- AI
- Yes, uses the built-in AI allowance
- Access
- GitHub issue events sent to the trigger link; Slack post to one channel
Send this to your assistant
Create a ClickRuntime automation: when a new issue is opened in our GitHub repo, summarise it in one line with AI, suggest bug, feature or question, and post it to #eng.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
New GitHub issues often sit unread until someone has time to go through the backlog. Meanwhile, a real bug report waits next to a duplicate feature request and a support question, and the person who reported it wonders whether anyone noticed.
This template reads each new issue as soon as it is opened, writes a one-line summary, suggests whether it is a bug, a feature request or a question, and posts it to your engineering channel with a link. The team sees new issues the same day without opening GitHub.
What you get out of it
Bugs get a first look sooner
Serious bugs stand out in the channel right away instead of waiting for the next triage session.
Faster triage
A summary and suggested label mean whoever does triage can sort a dozen issues in minutes.
Contributors feel heard
Quicker first responses make users and open-source contributors more likely to keep reporting problems and helping out.
Shared awareness
Everyone on the team sees what is coming in, which helps spot duplicates and related problems.
Less context switching
Engineers stay in Slack and only open GitHub when an issue needs them.
How it works
What happens, step by step
GitHub sends issues.opened to the trigger link and ClickRuntime checks its signature.
The AI model reads the title and body and returns a summary and label.
The summary, label and link are posted to #eng.
Before it runs live
- Add a repository webhook for Issues
- Save the webhook secret as a secret
- Connect Slack
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Google Sheets
- Combine it with other GitHub and Slack steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_event, ai, notify
@on_event
def handle(event):
if event.json.get("action") != "opened":
return
issue = event.json["issue"]
r = ai.generate(f"{issue['title']}\n\n{(issue.get('body') or '')[:3000]}",
system="Summarise this GitHub issue in one line and label it bug, feature or question.",
json_schema={"type": "object", "properties": {"label": {"type": "string"}, "summary": {"type": "string"}}})
notify.slack(f"{r.json['label']} · {r.json['summary']} ({issue['html_url']})", channel="#eng")FAQ
Common questions
Can it add the label in GitHub too?
Can it watch more than one repository?
Can I use my own labels?
Does each issue count as a run?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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