ds-dispatching-parallel-agents

What problem does it solve?

This Skill prevents wasted time and broken outputs by guiding you to parallelize only truly independent data-science tasks without creating conflicting notebook state or overlapping writes.

Core Features & Use Cases

• Parallelize by analytical domain: Dispatch one agent per independent analytical domain instead of parallelizing for convenience.
• Enforce safe scope boundaries: Require disjoint write scope or read-only scope plus a clear expected artifact and verification evidence.
• Avoid common failure modes: Block parallelization when tasks edit the same notebook, write the same tables/files, depend on each other’s outputs, or rely on shared hidden state.
• Integrate results coherently: Collect summaries, check for conflicts, verify artifacts independently, and run a final combined verification if needed.

Quick Start

Use ds-dispatching-parallel-agents to split your analysis into concurrent agents when multiple metric checks, robustness tests, and extract steps can run without shared notebook state or overlapping writes.