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deepen-plan

Run parallel research agents to enrich multi-section plans with references and recommendations.

Updated Mar 3, 2026
Search Tags:#automation#planning#workflows#knowledge-integration#deepening#research-agents#plan-enhancement
One-click install
npx skills add https://github.com/The-Rabak/naysmith --skill deepen-plan-the-rabak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepen-plan
Source: https://github.com/The-Rabak/naysmith/tree/main/.github/skills/deepen-plan
Command: npx skills add https://github.com/The-Rabak/naysmith --skill deepen-plan-the-rabak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates comprehensive plan deepening by orchestrating parallel research agents to enrich content with best practices, patterns, and concrete implementation details.

Core Features & Use Cases

  • Spawns per-section research agents to collect domain-specific guidance, patterns, and edge-case coverage
  • Integrates learnings from /workflows-compound and context docs to provide actionable recommendations
  • Produces an enhanced plan with an enhancement summary, references, and concrete implementation notes while preserving original content

Quick Start

Provide the plan path to begin the deepening process.

Frequently Asked Questions about deepen-plan

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

FAQPage Schema
How do I enrich a project plan with best practices and implementation details?▼

Plan deepening works by spawning parallel research agents that scan external documentation and existing learnings. Each sub-agent targets a specific section to discover relevant patterns and edge cases, then attaches actionable enhancement summaries and references to the original plan.

How do I add concrete references and recommendations to a multi-section plan?▼

You can enhance a multi-section plan by running parallel per-section research sub-agents. These agents collect domain-specific guidance and external documentation, producing a structured deepened plan that includes an enhancement summary, references, and concrete implementation notes.

Does automated plan enhancement preserve my original content?▼

Automated plan enhancement preserves your original content while appending new insights. The deepened plan output maintains the initial structure but integrates an enhancement summary, external references, and concrete recommendations generated by the parallel research agents.

What do I need to provide to start the plan deepening process?▼

To start the plan deepening process, you need to provide the plan path. The automation then orchestrates parallel research agents to discover relevant skills, learnings, and external documentation to enrich each section automatically.

When should I use parallel research agents for plan enhancement?▼

Use parallel research agents for plan enhancement when you need comprehensive coverage of edge cases and patterns across a multi-section plan. This approach is suited for advanced workflows requiring integration of context docs and actionable recommendations.

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