Automated Standup Digest from GitHub to Slack | Claritty
Automation

Automated standup digest

It reads what your team actually did in GitHub, writes the per-person did, doing and blockers, and posts the digest to Slack.

GitHub, SlackRuns on a daily schedule, each morning.

The work this replaces

The standup exists because nobody has a shared picture of what happened yesterday. So a team of people each spend a few minutes reconstructing it out loud, every morning, and the information was already sitting in GitHub the whole time.

What happens on each run

1

It groups the team activity

One agent reads recent GitHub activity and groups it per person and per theme, so the digest is organised by who did what rather than by a raw commit list.

2

It writes did, doing and blockers

A second agent turns that grouped activity into a per-person summary in the shape a standup actually uses.

3

It composes the digest and flags blockers

A third agent assembles the digest and escalates blockers separately, so a blocker gets attention rather than scrolling past inside a summary.

4

It posts to Slack

The digest lands in the channel your team already reads, on a schedule, before the day starts.

Where it stops

Blockers are escalated for human approval rather than acted on. It reports and summarises; it does not reassign work, close issues or comment on anyone’s behalf.

Questions people ask

Does this replace the standup meeting?

It replaces the part where everyone recites what they did, because that information is already in GitHub. Whether you keep the meeting for the conversation that follows is a team decision, and plenty of teams do.

What if the work is not in GitHub?

Then this app will not see it. It reads GitHub activity, so work that lives only in someone’s head or in a tool it is not connected to will not appear. It is honest about what it can observe.

Can it post somewhere other than Slack?

This app is built for GitHub in and Slack out. Claritty connects to other channels, so a variant that delivers elsewhere is a change to the automation rather than a different product.

Run it on your own data first.

Building it is free, and the first run happens on your real inbox so you can read what it produced before anything acts on your behalf.

Start free