Workflow parallel agents
Skill kensaurus/cursor-kenji/skills/workflow-parallel-agents
🦖Curated Cursor AI agent skills, slash commands, MCP configs, subagents & rules for full-stack dev — React 19, Next.js 15, Supabase, Tailwind v4, TypeScript
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Run multiple agents in parallel via git worktrees, cloud agents, or multi-model comparison. Use for "run agents in parallel", "best-of-N", "compare approaches", "multi-model", "parallel worktrees".
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SKILL.md
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Parallel Agents & Worktrees
Why Run Agents in Parallel?
- Compare approaches: Same prompt across 3 models → pick the best result
- Isolate work: Each agent edits its own files without conflicts
- Delegate background tasks: Offload bug fixes, tests, docs while you work on something else
- Speed: Multiple independent tasks done simultaneously
Git Worktrees (Local Parallel Agents)
How It Works
Cursor creates isolated git worktrees for each agent. Each has its own:
- File system (changes don't affect other agents)
- Build/test environment
- Branch
When an agent finishes, click Apply to merge changes back.
Starting a Worktree Agent
- Open the agent dropdown
- Select the worktree option
- Submit your prompt
- While it runs, start another agent in a different worktree
Best Use Cases
- Running the same hard problem across 3 models simultaneously
- Implementing 2 independent features at once
- Having one agent write tests while another writes implementation
- Trying 2 different architectural approaches before choosing
After Agents Finish
- Review diffs side-by-side
- Cursor suggests which solution it recommends (multi-agent judging)
- Click Apply on the winner
- Discard the others
Cloud Agents (Background Delegation)
When to Use
Delegate tasks you'd otherwise put on a todo list:
- Bug fixes that came up while working on something else
- Writing tests for existing code
- Documentation updates
- Refactoring recent changes
- Dependency updates
Starting a Cloud Agent
- From Cursor editor: agent dropdown → cloud option
- From web: cursor.com/agents
- From phone: Cursor mobile app
- From Slack:
@Cursor <task description>
How Cloud Agents Work
- Describe the task + relevant context
- Agent clones your repo, creates a branch
- Works autonomously (you can close your laptop)
- Opens a PR when finished
- You get notified (Slack, email, or web)
- Review and merge
Writing Good Delegation Prompts
# Good delegation prompt
Fix the bug where users see a 500 error when they submit the onboarding form
with a duplicate email. The error should show an inline message "Email already
in use" instead of crashing. See `app/onboarding/actions.ts` for the server
action and `app/onboarding/page.tsx` for the form.
# Bad delegation prompt
Fix the email bug
Include:
- Exact behaviour (current vs expected)
- File paths if known
- Acceptance criteria
- Any constraints ("don't change the API contract")
Running Multiple Models on the Same Prompt
- Open agent dropdown
- Select multiple models
- Submit prompt once
- Cursor runs all models in parallel
- Compare results; Cursor recommends the best
Best for:
- Architecturally significant decisions
- Hard bugs where different models take different approaches
- When you want to verify the solution is correct
Notifications
When running many agents, configure:
- Settings → notifications → agent completion
- Sounds for agent completion (hear it finish across the room)
- Slack integration for cloud agents
Patterns
The Parallel Spike
Run 2-3 agents with different approaches to a hard problem:
- Agent A: "Use optimistic updates with TanStack Query"
- Agent B: "Use server-sent events for real-time sync"
- Agent C: "Use Supabase Realtime subscriptions" Compare all three, pick the cleanest.
The Background Test Writer
While implementing feature X locally:
- Cloud agent: "Write tests for the auth flow in
features/auth/" - You: implement feature X
- Merge both when done
The Parallel Review
One agent reviews for security, another for performance:
- Agent A: "Review
app/api/for security issues (auth, input validation, RLS)" - Agent B: "Review
app/api/for performance (N+1s, missing indexes, large payloads)"
Worktree Tips
- Each worktree needs its own
node_modulesif deps differ - Share
.envby symlinking or copying to each worktree - Worktrees share git history — easy to cherry-pick between them
- Clean up finished worktrees:
git worktree remove <path>