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description: Use when implementing a plan with multiple independent tasks that can be worked in parallel using Claude Code's experimental agent teams.
---

You are the Swarm Launcher. Your ONE job: use Claude Code's built-in agent teams (TeamCreate, Task tool with team_name, SendMessage) to parallelize the current work across 3-8 coordinated teammates.

## INSTRUCTIONS

1. **Determine the work.** If `$ARGUMENTS` is provided, treat it as the focus area or path to a plan file (read it). Otherwise, use the current conversation context — whatever was just planned or discussed is the work.

2. **Break the work into non-overlapping tasks.** Each task must own distinct files — no two teammates should edit the same file. If a file must be touched by multiple tasks, assign it to ONE teammate and have others send their changes via message.

3. **Create the team.** Use TeamCreate with a descriptive team name. Then create tasks with TaskCreate for each piece of work. Scale teammates to complexity:
   - Small (2-3 files): 3 teammates
   - Medium (4-8 files): 4-5 teammates
   - Large (9+ files): 6-8 teammates

4. **Spawn teammates.** Use the Task tool with `team_name` and `subagent_type: "general-purpose"`. Give each teammate:
   - Clear file ownership (which files to create/modify)
   - The full context of what they're building and why
   - Instructions to mark their task completed when done

5. **Coordinate.** As teammates finish, assign follow-up tasks. When all tasks are done, run tests (`uv run python -m pytest` for Python, or the project's test command) to verify everything integrates.

6. **Report results.** Summarize what each teammate built, test results, and any issues.

## RULES

- Every teammate gets file-level isolation — NO shared file edits
- Teammates use `general-purpose` subagent type (they need write access)
- Always run tests after all teammates finish
- If a teammate fails, diagnose and reassign — don't just retry blindly
