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On a schedule

Log daily engineering activity to a sheet

Each morning yesterday's merged pull requests and closed issues are added to a sheet, and a short summary is sent to you.

Runs
On a schedule
Apps
GitHub, Google Sheets
AI
Yes, uses the built-in AI allowance
Access
GitHub read; sheet editor

Send this to your assistant

Create a ClickRuntime automation: every morning, add yesterday's merged PRs and closed issues from our GitHub org to my Activity sheet, then email me a short AI summary.

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

An engineering manager reports progress to leadership every month and has to piece it together from GitHub searches across many repositories. Small but important wins are forgotten, and the report takes half a day.

A daily log in a sheet builds the record as the work happens. At month end, the manager filters the sheet instead of searching GitHub, and the daily summary keeps them aware of what shipped without reading every pull request.

What you get out of it

  • A complete record of what shipped

    Every merged pull request and closed issue is logged with its date and repository. Nothing is forgotten when it is time to report.

  • Monthly reports from a filter

    Filtering or charting the sheet gives the month's work in minutes. No more manual searches.

  • A daily summary in plain words

    AI sums up the day's work in a few sentences. Managers stay informed without reading every title.

  • Shareable with non-engineers

    Leadership and product teams can read the sheet without a GitHub account. Progress is visible across the company.

How it works

What happens, step by step

  1. Every morning, ClickRuntime searches your GitHub organisation for pull requests merged and issues closed yesterday.

  2. Each one is added as a row in your Activity sheet with date, repository, title, author and link.

  3. AI writes a short summary of the day's work.

  4. The summary is emailed to you.

Before it runs live

  • Connect GitHub
  • Connect your Google Sheets account and pick the spreadsheets it may use

What you get

RunsOn a schedule
Log daily engineering activity to a sheettoday, 9:00Succeeded
Email · Engineering activity Thu 16 Oct: 7 merged, 4 closedMost work went into the new export screen, which is now feature complete. Two checkout bugs reported last week were fixed.

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

  • Run it at a different time, more or less often, or only on weekdays
  • Change what the AI looks for, or how it writes the result
  • Add another app, for example also send it to Slack
  • Combine it with other GitHub and Google Sheets 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.
daily_engineering_activity_log.pyexample
from datetime import date, timedelta
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_trigger, credentials, http, notify, ai

def gh(method, path, **kw):
    resp = http.request(method, f"https://api.github.com{path}", headers={
        "Authorization": f"Bearer {credentials.connection('github', 'work')}", "Accept": "application/vnd.github+json"}, **kw)
    return resp.raise_for_status() or (resp.json() if resp.content else None)

ORG, SHEET_ID = "acme", "your-spreadsheet-id"

@on_trigger
def run(event):
    day = date.today() - timedelta(days=1)
    merged = gh("GET", "/search/issues", params={"q": f"org:{ORG} is:pr is:merged merged:{day}", "per_page": 100})["items"]
    closed = gh("GET", "/search/issues", params={"q": f"org:{ORG} is:issue is:closed closed:{day}", "per_page": 100})["items"]
    rows = [[str(day), kind, i["repository_url"].split("/")[-1], i["title"], i["user"]["login"], i["html_url"]]
            for kind, items in (("PR", merged), ("Issue", closed)) for i in items]
    if not rows:
        return {"rows": 0}
    sheets = build("sheets", "v4", credentials=Credentials(credentials.connection("google", "work")), cache_discovery=False)
    sheets.spreadsheets().values().append(spreadsheetId=SHEET_ID, range="Activity!A:F", valueInputOption="USER_ENTERED", body={"values": rows}).execute()
    summary = ai.generate("\n".join(f"{r[1]} {r[2]}: {r[3]}" for r in rows)[:8000], max_output_tokens=200,
                          system="Summarise this day of engineering work in 3 plain sentences for a manager.").text
    notify.email_me(f"Engineering activity {day:%a %d %b}: {len(merged)} merged, {len(closed)} closed", summary)
    return {"rows": len(rows)}

FAQ

Common questions

Which repositories does it include?
All repositories in the organisation you name that the connected account can read, or a list you choose.
Can the summary go to Slack instead?
Yes. Ask for the summary in a Slack channel instead of, or as well as, email.
What columns does the sheet get?
Date, type (pull request or issue), repository, title, author and link. Add your own columns to the right for notes.
What permissions does it need?
GitHub read; sheet editor. 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 each time it runs (on a schedule). Checks that find nothing to do and stop right away aren't counted.
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 “Log daily engineering activity to a sheet” from your assistant

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