deepen-plan

To automate plan enhancement, this Skill spawns parallel research agents for each plan section, extracting best practices and concrete implementations. It dynamically discovers relevant agents and aggregates learnings to synthesize actionable recommendations and patterns directly into your plan.

Parallel research orchestration for workflow planning is the process of assigning dedicated research agents to individual plan sections simultaneously. This approach aggregates domain-specific learnings from internal solutions and external references, returning synthesized documentation and concrete code snippets to deepen the original plan.

You can deepen a project plan by providing the file path to the Skill. It applies dynamically discovered parallel research agents to each section, aggregating industry patterns and past solutions to synthesize actionable recommendations, concrete code, and configuration snippets ready to embed.

Yes, this plan deepening approach works with existing documentation files. You simply provide the path to your plan file, and the orchestration workflow dynamically applies research agents to each section, extracting best practices and returning synthesized recommendations to embed back into the document.

The best way to aggregate learnings from past solutions is using parallel research orchestration. By dynamically discovering and applying agents to each plan section, it extracts domain-specific patterns and concrete implementations, synthesizing them into actionable recommendations without reinventing the wheel.

Yes, you can add domain-specific depth automatically. The Skill spawns per-section research agents that dynamically discover and extract relevant best practices, patterns, and concrete implementations, aggregating these learnings to synthesize actionable documentation for each part of your plan.