Summarize sprint progress in Linear

An Orkeste agent reads your Linear issues on the schedule you set and writes the sprint update: what shipped, what is in progress, what is blocked and what is at risk. It posts the update to Slack once the engineering lead has approved it.

The problem

Status updates are written from memory at the end of the week, or replaced by a meeting. Stakeholders ask the same question in five places.

How the workflow runs

Runs: Every day or every week at the hour you set.

  1. Search Linear: The agent searches Linear for the team's issues in the current cycle, up to 20 per search.
  2. Group the work: It sorts issues into done, in progress, blocked and at risk.
  3. Write the update: It writes a short update that people outside engineering can read.
  4. Approve: The update waits in Validations for the engineering lead.
  5. Post: The approved update is posted to Slack, and can also be saved on a Confluence page.

The update is shared only after the engineering lead approves it.

Who does what

What this workflow does not do

Works with your stack

Questions about this workflow

Can it publish the update on a Confluence page too?

Yes. Agents can create or update a Confluence page, so the update can live in your team space as well.

Does it work with Jira?

Yes. With Jira, the agent runs a JQL search of up to ten issues per search and writes the same update.

Who is it written for?

You decide in the briefing: engineering, leadership or customer-facing teams. One agent per audience works best.

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