deepen-plan

Coordinate parallel research agents to enrich project plan sections.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/vib795/copilot-anatomy --skill deepen-plan-vib795
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepen-plan
Source: https://github.com/vib795/copilot-anatomy/tree/main/.github/skills/deepen-plan
Command: npx skills add https://github.com/vib795/copilot-anatomy --skill deepen-plan-vib795

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to automatically deepen a project plan by coordinating multiple parallel research agents. It enriches sections with best practices, patterns, and implementation details, reducing manual planning effort and increasing quality.

Core Features & Use Cases

  • Orchestrates discovery and invocation of diverse research and skills to expand plan content with concrete recommendations.
  • Aggregates findings from multiple sources (skills, learnings, learnings from ce-compound, and context/docs) into a coherent enhancement.
  • Produces an enhanced plan with actionable guidance, example patterns, and references while preserving the original structure.

Quick Start

Provide the path to the plan file you want to deepen.

Frequently Asked Questions about deepen-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deepen a project plan with parallel research agents?

Enhancing a project plan with AI involves coordinating parallel research agents to enrich each section with best practices, patterns, and implementation details. This skill aggregates findings from multiple sources to deliver concrete, production-ready recommendations.

What is the best way to enrich product planning documents with actionable recommendations?

The best way to enrich product planning documents is to orchestrate diverse research agents that discover and apply learnings, external references, and skills. This approach produces an enhanced plan with actionable guidance, code snippets, and references while preserving original content.

Can I use AI-assistant research agents to add code snippets and patterns to my workflow planning?

Yes, AI-assistant research agents can automatically discover and apply skills to expand your workflow planning content. They aggregate findings from learnings and context to deliver concrete enhancements, including example patterns and code snippets where applicable.

Does this plan enhancement approach preserve the original structure of my project document?

Yes, this plan enhancement approach preserves the original content and structure of your project document. It deepens the plan by coordinating parallel research agents to add actionable recommendations and references without altering your initial layout.

How do I automatically discover and apply external references to enrich a product management plan?

You can automatically discover and apply external references by providing the path to your plan file. The skill orchestrates parallel research agents to aggregate context, learnings, and skills, producing concrete enhancements with actionable guidance and references.

What limitations should I expect when using parallel research agents for plan enhancement?

When using parallel research agents for plan enhancement, you must provide a specific plan file path to begin. The depth of enrichment relies on available skills, learnings, and context, meaning results depend on the quality of accessible external references.