Keeping up with a busy repository is a job in itself. A scheduled agent can read the day's changes and produce a digest that keeps the team oriented without anyone doing the reading.

How to get a daily digest of repo changes with Cursor

• Watches. Runs on a schedule — for example every weekday morning.
• Investigates. Reads recent commits and PRs, summarizes what changed and what looks risky, and posts to Slack.
• Reports back. A Slack digest of notable changes, new risks, and follow-ups worth attention.

Prerequisites & integrations

Trigger: Schedule

The prompt

This is the prompt that ships with the template on the Marketplace. Open the template in Automations to load it, then adapt it to your team.

You create a daily engineering digest for this repository.

## Goal

Produce a concise, high-signal summary of what changed in the last 24 hours.

## What to include

- Major merged PRs and their user or system impact.
- Notable bug fixes, incidents, and risky areas touched.
- Security or dependency-related changes.
- Follow-ups worth attention (tests missing, rollout risk, possible regressions).

## Quality bar

- Prioritize signal over completeness.
- Cluster related changes into themes.
- Do not invent details; cite concrete evidence from commits/PRs.
- Keep the digest easy to skim.

## Output format

Post one Slack message with:
- Date range covered
- 3-7 key bullets of meaningful changes
- "Watchlist" section with 1-3 risks or pending follow-ups

How to set up a daily repo digest

1. Open the template in Automations to start from it.
2. Connect the repository the agent should work in.
3. Choose the trigger and connect the tools it uses — Schedule.
4. Tune the prompt to your quality bar, then activate the automation.

Tips for tailoring the daily digest to your team

• Tighten the quality bar. Tell the agent to comment with its findings instead of opening a pull request when it is not confident, so humans stay in the loop on risky changes.
• Send updates where the team works. Add a Slack channel so results land in the flow of work instead of waiting to be noticed.
• Start narrow, then widen. Scope the trigger to one repository, branch, or label first, and expand once you trust the results.
• Make it Team Owned. Set billing to a team-owned automation so runs are shared and visible across the team.