Multi-Agent Task Decomposition & Ranking

The problem

Large projects are often overwhelming because it is difficult to break them down into clear, actionable steps and figure out what to do first.

What it does

It takes a high-level goal and a list of tasks, then automatically breaks those tasks into smaller steps and ranks them in order of importance.

Why it matters

It turns a messy list of project goals into a clear, prioritized roadmap for action.

Validation

It was run in the sandbox and it failed. run output shows an error/traceback — the artifact does NOT run clean.

$ python3 main.py
Prioritized Tasks:
- Subtask 1: Processed Subtask 1 with findings...
- Subtask 2: Processed Subtask 2 with findings...
- Subtask 3: Processed Subtask 3 with findings...

No screenshot — there is nothing working to show. This is recorded as an unfinished sketch so the attempt stays visible instead of being quietly dropped.

The code

All of it — 5 lines, one file, standard library only.

#!/usr/bin/env python3
import sys
from multi_agent_task_decomposer import main
if __name__ == "__main__":
    sys.exit(main())