SUMMARIZATION

Blocker Escalation from Slack Standup into Linear

Triggers when a standup summary message lands in Slack, extracts only the blockers and their owners.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew standup message in Slack channelSlack
  • ActionExtract blockers and owners with OpenAIOpenAI
  • LogicKeep only unresolved live blockers
  • ActionCreate a Linear issue per blocker with ownerLinearLinear
  • OutputPost escalated blocker map to Slack threadSlack

What it does

It watches a Slack standup channel and, the moment a daily roundup is posted, isolates the blockers from the chatter. It maps who is blocked, who they are waiting on, and how long the item has been stuck, then escalates each one into Linear so engineering blockers do not silently rot in chat.

When to use it

Reach for this when your team posts standups in Slack but tracks work in Linear, and you want blockers to become real, owned issues instead of forgotten one-liners. Best for engineering pods where a stuck dependency means a missed cycle.

How it works

  1. 1A new-message event in the Slack standup channel triggers the flow.
  2. 2OpenAI parses the thread and returns a structured list of blockers, each with a blocked person and a blocking owner.
  3. 3A logic step filters out resolved or informational items, keeping only live blockers.
  4. 4For each remaining blocker, a Linear issue is created, assigned to the blocking owner, and labeled with the blocked teammate.
  5. 5A confirmation with the escalated blocker map and issue links is posted back to the Slack thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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