deepen-plan

To enhance a draft project plan, you can use parallel research agents to enrich each plan section with targeted research, expert reviews, and concrete implementation details. This process parses the plan markdown, spawns dedicated sub-agents, and writes an enhanced plan file.

Yes, you can automate technical research for software engineering plans by spawning dedicated parallel sub-agents per plan section. These agents automatically gather best practices, performance guidance, and real-world code examples to synthesize into the final document.

The best way to expand a technical feature plan is by applying targeted parallel research and learning checks to aggregate architecture notes and test scenarios. This approach deduplicates findings and prioritizes action items directly into an enhanced plan file.

You need an existing project plan markdown file, typically produced by planning workflows, to enrich it with parallel research agents. The system parses the markdown structure to discover relevant skills and spawn sub-agents for each section effectively.

Discovering SKILL.md and historical learnings improves your project plan by automatically applying relevant project skills and past learnings to prevent repeating mistakes. This synthesis aggregates edge cases and references to ground the enhanced plan in proven examples.

You should avoid using parallel research agents to deepen a project plan if your draft lacks defined markdown sections or if the technical approach requires highly specialized, non-documented knowledge that automated sub-agents cannot effectively research or synthesize.