PERSONAL PRODUCTIVITY

Linear Stale-Mention Digest and Auto-Close of Done Issues

Collects every Linear issue where you were mentioned or assigned but have not responded, batches them into a single digest.

CategoryPersonal Productivity
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily Linear sweep fires
  • ActionQuery stale mentions and assignmentsLinearLinear
  • LogicDetect completed issues (merged PR / done sub-tasks)LinearLinear
  • ActionTransition completed issues to Done with commentLinearLinear
  • OutputDeliver stale-mention digestSlack

What it does

This workflow tackles two kinds of Linear notification debt at once. It gathers stale mentions and assignments you have left unread and packages them into one digest instead of a stream of pings. Separately, it finds issues that are effectively done — a linked PR is merged or every sub-task is checked — and moves them to Done with a comment, so finished work stops haunting your active board.

When to use it

Use it when Linear notifications pile up faster than you clear them and your 'assigned to me' view is full of issues that are actually shipped. Good for engineers and leads who want a single daily catch-up rather than constant in-app badges.

How it works

  1. 1A scheduled trigger fires once a day.
  2. 2The flow queries Linear for issues where you are mentioned or assigned and have not engaged.
  3. 3A branch checks each in-progress issue for completion signals: merged linked PR or all sub-tasks complete.
  4. 4Completed issues are transitioned to Done with an explanatory comment.
  5. 5The remaining stale items are compiled into one digest and delivered to you, with deep links.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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