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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.

Paste it into your assistant. It tells you what it will send or change before it runs live.

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

  1. GitHub sends issues.opened to the trigger link and ClickRuntime checks its signature.

  2. The AI model reads the title and body and returns a summary and label.

  3. 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

RunsEach new issue
Triage new GitHub issuesjust nowSucceeded
Slack · #engbug · Login loop after password reset on iOS 18 (#318)

Build your own

Need it to work differently?

This template is a starting point. Copy the prompt and change it, or describe a different automation from scratch, with your own conditions, more apps or an AI step. Your assistant writes it, tests it and runs it on ClickRuntime.
  • 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

This is the Python script that runs each time the automation starts. Your AI assistant writes it for you when you send the prompt, and you allow each step in your assistant. To change how the automation works, describe the change to your assistant and it updates the script for you. For every function it can use, see the script reference.
github_issue_triage.pyexample
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?
Yes. Save a GitHub token as a secret and ask the assistant to apply the label.
Can it watch more than one repository?
Yes. Add the same webhook to each repository, or add it once at the organization level.
Can I use my own labels?
Yes. Give your assistant your label names, such as needs-repro or docs, and it updates the instructions the AI follows.
Does each issue count as a run?
Yes. Each new issue is one run. Other issue events, like comments or edits, stop right away and aren't posted.
What permissions does it need?
GitHub issue events sent to the trigger link; Slack post to one channel. Nothing else in your accounts is used.
Does it need AI?
Yes. It uses ClickRuntime's built-in AI, so you don't need an OpenAI or Anthropic key. Every plan includes a monthly AI allowance.
How many runs does it use?
One run for each event the app sends.
Can I change how it works?
Yes. Describe the change to your AI assistant, for example a different schedule, channel or filter. It updates the automation, tests it and tells you what changed.

Set up “Triage new GitHub issues” from your assistant

Copy the prompt above, or connect your assistant first. Free plan, no credit card.