deepen-plan

To deepen a plan with automated parallel research, provide a multi-section plan path. The system spawns per-section research agents to gather best practices and synthesize learnings into an execution-ready enhanced plan.

Plan deepening is the process of orchestrating parallel research agents to add domain-specific depth, best practices, and concrete implementation details to multi-section plans. It improves workflows by producing an enhanced plan with an execution-ready summary and references.

Yes, you can use parallel research agents to add implementation details to a multi-section plan. The system coordinates per-section deep-dives and aggregates project-wide learnings to generate concrete patterns and references.

The best way to synthesize learnings from multiple research agents is to coordinate them to explore domain-specific sections, then aggregate their outputs. This avoids repeated mistakes and produces an enhanced plan with an execution-ready enhancement summary.

Plan deepening requires no external dependencies or components to run. It autonomously spawns and coordinates parallel research agents to synthesize learnings and produce an enhanced, execution-ready plan with references.

You should not use automated plan deepening for simple, single-section tasks that lack multi-section structure. The approach is designed for multi-section plans requiring domain-specific exploration and cross-skill integration to produce concrete implementation details.