deepen-plan

Enhance plan files with parallel research agents and review integration.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard --skill deepen-plan-jimmychen-nxp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepen-plan
Source: https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard/tree/main/.github/skills/deepen-plan
Command: npx skills add https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard --skill deepen-plan-jimmychen-nxp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enhances existing plans by integrating in-depth research, best practices, and implementation details for each section, transforming a basic outline into a production-ready blueprint.

Core Features & Use Cases

  • Parallel Research: Spawns dedicated agents for each plan section to research best practices, optimizations, and real-world examples.
  • Skill & Learning Integration: Discovers and applies relevant existing skills and documented solutions to enrich the plan.
  • Comprehensive Review: Runs all available review agents to ensure maximum coverage of potential issues and improvements.
  • Use Case: You have a draft plan for a new feature. This Skill will automatically research the best architectural patterns, potential security vulnerabilities, UI/UX considerations, and provide concrete code examples, significantly improving the quality and completeness of the plan.

Quick Start

Use the deepen-plan skill on the file 'docs/plans/2026-01-15-feat-my-feature-plan.md'.

Frequently Asked Questions about deepen-plan

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

FAQPage Schema
How do I enhance a draft plan with best practices and implementation details?

To enhance a draft plan, you can use parallel research agents to investigate each section, automatically integrating best practices, real-world examples, and implementation details to transform a basic outline into a production-ready blueprint.

What is the best way to automate research for technical writing and code generation plans?

Automating research for technical writing involves orchestrating parallel agents to dynamically discover relevant skills, apply documented learnings, and run review agents, ensuring comprehensive analysis and actionable recommendations for your plan.

Can I use parallel agents to review specific sections of a feature plan?

Yes, you can spawn dedicated research agents for each plan section to investigate architectural patterns, potential security vulnerabilities, and UI/UX considerations, significantly improving the quality and completeness of the entire plan.

Does this plan enhancement approach work without external dependencies?

Yes, this plan enhancement approach works without external dependencies, dynamically discovering and applying existing skills and documented solutions internally to enrich your feature plan with concrete code examples.

When should I not use automated plan enhancement for my software engineering project?

You should avoid automated plan enhancement if your project requires highly customized, non-standard architectural patterns that cannot be adequately researched or validated by dynamically discovering existing documented learnings and skills.

Why does my plan file need comprehensive review agents for research automation?

Your plan file needs comprehensive review agents to ensure maximum coverage of potential issues and improvements, transforming a basic outline into a production-ready blueprint by running all available review processes during research automation.