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How to split a large task across parallel cloud agents with Plugins

Use the orchestrate plugin to run planners, workers, and verifiers on one big job at once.

Who it is forAn engineering lead with a large refactor or migration that is too big for one agent session.

The problemA single agent working through a large task serially takes too long and loses track of parts of the work.

The outcomeA fan-out plan where parallel cloud agents complete sub-tasks and report back through structured handoffs.

What you need first

  • Access to the cursor/plugins repository on GitHub
  • Cursor set up to use plugins
  • Basic familiarity with the .cursor-plugin/plugin.json manifest each plugin needs

Steps

  1. Open the orchestrate/ directory and read its plugin description.
  2. Break the large task into independent sub-tasks that can run in parallel.
  3. Assign a planner to write the split and workers to take each sub-task.
  4. Assign a verifier to check each worker's output before it is accepted.
  5. Collect the structured handoffs and merge the verified results.

Prompt for your agent

Using the orchestrate plugin from the cursor/plugins repo, split the task <task-description> into parallel sub-tasks with a planner, workers, and a verifier. Output the plan, the worker assignments, and the verified handoffs. Verify that every sub-task has a verifier result before you report it as done.

Caveat. The README describes orchestration at a high level only, so confirm how cloud agents are started and billed in your own Cursor setup before running large fan-outs.

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