PROJECT MANAGEMENT

Reconcile Delivered Work Against Open Dependency Promises

Daily matches recently completed Linear and GitHub work against open cross-team dependency tasks in ClickUp, auto-closes the ones that are satisfied.

CategoryProject Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionGather done Linear issues and merged GitHub PRsLinearLinear
  • ActionFetch open dependency tasks from ClickUpClickUpClickUp
  • LogicLLM matches deliveries to promises with confidence scoreOpenAI
  • ActionClose satisfied ClickUp dependency tasksClickUpClickUp
  • OutputNotify the unblocked team in SlackSlack

What it does

Each day it looks at work that just shipped (Linear issues moved to Done, merged GitHub PRs) and matches it against open dependency tasks in ClickUp. When a delivery satisfies a tracked promise, it closes the ClickUp dependency task and tells the team that was blocked that they're now unblocked, with a link to the proof of delivery.

When to use it

When dependencies get fulfilled but the tracker stays open because nobody updates it, leaving the blocked team unaware they can proceed. Use this to keep the promise board honest and to deliver the "you're unblocked" signal automatically.

How it works

  1. 1A daily schedule triggers the run.
  2. 2The flow gathers Linear issues recently moved to Done and recently merged GitHub PRs.
  3. 3It fetches open dependency tasks from ClickUp.
  4. 4An LLM matches deliveries to the promises they satisfy, scoring confidence.
  5. 5High-confidence matches close the ClickUp task; low-confidence matches are flagged for human review.
  6. 6The waiting team is notified in Slack that the dependency is fulfilled, with the linking evidence.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LinearIssues, projects, cycles, triage.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect ClickUpDocs + tasks + chats in one workspace.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect OpenAIModels, embeddings, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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