Free tested AI prompts for Parallel Agent Workflows. Built for real results you can use right away.
Free AI prompts for Parallel Agent Workflows, tested and ready to use right now.
Free tested AI prompts for Parallel Agent Workflows. Built for real results you can use right away.
Browse top AI prompts for Parallel Agent Workflows across set up worktree isolation, and more. Every prompt in this guide is free to copy and built for real results. No prompt engineering experience needed.
Stage 1
Worktrees are git's built-in solution to parallel agent work. Each worktree is a separate working directory on its own branch, sharing the same repo history. These prompts help you create, name, and manage worktrees for a multi-agent workflow.
Create a worktree-per-task workflow
Write the worktree setup for a parallel agent workflow in [YOUR_PROJECT]. I have these three independent tasks: [TASK 1], [TASK 2], [TASK 3]. For each task, write: the git worktree create command with the correct branch name, the agent start command that opens Claude Code in that worktree, and the cleanup command to run after the task is merged. Also write the naming convention I should use so worktrees are easy to identify.
Automate worktree creation for the loop
Write a shell script for [YOUR_PROJECT] that automates worktree creation for the agent loop. The script should: read the task queue from .agent/tasks.md, create one worktree per task marked "todo", name each worktree using the pattern agent/[task-id], start a Claude Code session in each worktree in the background, and log the worktree-to-task mapping to .agent/worktrees.md. Write the full script.
Write the merge protocol for parallel worktrees
Write the merge and cleanup protocol for [YOUR_PROJECT] after parallel agent worktrees complete. The protocol should: wait for all worktrees to write their completion signal to .agent/done-[task-id].md, run the full test suite in each worktree before merging, merge worktrees to main in priority order, abort the merge if tests fail and log the failure, and delete successfully merged worktrees. Write this as both a shell script and a Claude Code loop prompt.
Handle worktree conflicts
Two parallel agents in [YOUR_PROJECT] both modified [FILE NAME] and now there is a merge conflict. Write the conflict resolution protocol: how the orchestrator agent detects the conflict, the prompt it uses to resolve the conflict (which version to prefer and under what conditions), how to verify the resolved merge does not break either agent's intent, and how to log the conflict for future loop improvement. Write the resolution prompt.
Set the agent isolation boundaries
Write the file-scope rules for parallel agents in [YOUR_PROJECT] to prevent conflicts before they happen. Based on my codebase structure [DESCRIBE FILE LAYOUT], assign each agent type a set of files it is allowed to touch and a set it must not modify. Write the isolation rules as a section in AGENTS.md that the loop reads before assigning tasks to agents.
A git worktree is a separate working directory linked to the same repository, checked out on its own branch. Parallel agents each get their own worktree so they can edit files without touching each other's work. Without worktrees, two agents writing to the same file at the same time would produce conflicts or corrupted output. Each worktree shares the repo history but has its own HEAD and working tree.
There are two layers of defense. First, assign each agent a fixed file scope in AGENTS.md before any run starts. A frontend agent only touches components and styles; a backend agent only touches API routes and queries. Second, use git worktrees so each agent works in a separate directory. Even if the scopes overlap accidentally, worktree isolation prevents a direct filesystem collision during the run.
Start with two to three. The coordination overhead grows quickly with more agents: each additional agent means another handoff to design, another worktree to manage, and another merge to verify. Three agents working on genuinely independent tasks in separate worktrees is a well-understood pattern. More than five parallel agents requires a more sophisticated orchestration layer than most loops need.
Merge in priority order, running the full test suite after each merge. If a merge introduces a failing test, roll it back and log the conflict before attempting the next merge. The merge protocol prompts in Stage 1 of this guide generate a shell script and a loop prompt that implements this sequence with rollback handling built in.
Each parallel task should be completable in a single loop run and isolated enough that it touches a distinct set of files. A good rule: if two tasks both need to edit the same file, they should not run in parallel. If you cannot scope each task to a unique file set, run them sequentially rather than in parallel. The worktree conflict prompts in Stage 1 help you identify scope overlaps before they cause problems.
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