PROJECT MANAGEMENT
Turn a Slack Standup Thread Into Tracked Linear Issues
Reads the daily standup thread in Slack, uses AI to extract concrete action items, and files each as an assigned Linear issue with a reply-back link.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled run shortly after standup
- ActionFetch standup thread + repliesSlack
- LogicExtract action items as structured JSONOpenAI
- ActionCreate one assigned issue per itemLinear
- OutputPost tracked-issue summary in threadSlack
What it does
This workflow watches a designated Slack channel for the daily standup thread and converts free-form updates into structured, tracked work. When the standup posts, it pulls every reply in the thread, sends the conversation to OpenAI to pull out only the real commitments ("I'll fix the billing webhook today", "blocked on the API key from Sam"), and creates one Linear issue per action item — mapping the Slack author to the right Linear assignee, tagging blockers, and setting a due date when one is implied. It then posts a single summary back in the thread so the team sees exactly what got tracked and where.
When to use it
Use this when standups happen in writing (async or hybrid teams) and action items keep evaporating into the scrollback. It is ideal for engineering, product, or ops squads that run a daily Slack standup but want commitments to live in Linear without anyone manually copy-pasting. Run it on a schedule a few minutes after your standup bot prompts, so it captures the full thread once people have replied.
How it works
The workflow triggers on a schedule (e.g. 10:15am after a 10:00 standup), fetches the standup thread and its replies from Slack, and passes the combined text to OpenAI with a structured extraction prompt that returns a JSON array of `{title, assignee, isBlocker, dueDate}` items. A loop step creates a Linear issue for each item — applying a "blocked" label when flagged and resolving the Slack display name to a Linear user. Finally it posts a threaded Slack reply listing the created issues with their links, so the standup itself becomes the audit trail.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
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