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All-The-Vibes
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deepen-plan

Coordinate parallel research agents to deepen plan sections with best practices.

50|14|Updated Mar 11, 2026
Search Tags:#automation#planning#research#agent orchestration#plan#deepen
One-click install
npx skills add https://github.com/All-The-Vibes/ATV-StarterKit --skill deepen-plan-all-the-vibes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepen-plan
Source: https://github.com/All-The-Vibes/ATV-StarterKit/tree/main/.github/skills/deepen-plan
Command: npx skills add https://github.com/All-The-Vibes/ATV-StarterKit --skill deepen-plan-all-the-vibes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates an automated, parallel research workflow to deepen existing plans by distributing investigative tasks across multiple agents, yielding a richer and more robust plan.

Core Features & Use Cases

  • Parallel per-section research: spawn dedicated researchers for each plan section to gather best practices, patterns, and implementation details.
  • Dynamic skill discovery: scan available skills and learnings to apply the most relevant guidance.
  • Plan synthesis and enhancement: consolidate findings into the plan with concrete recommendations and guidance.
  • Learnings reuse: leverage documented learnings from /ce-compound to prevent repeating mistakes.

Quick Start

Provide the path to a plan file and run the deepen-plan skill to generate a deepened plan with research insights.

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?▼

Deepen a plan by spawning parallel research agents for each section to gather best practices, patterns, and implementation details, synthesizing findings into a production-ready enhanced plan.

What is automated agent orchestration for plan enhancement?▼

Agent orchestration coordinates multiple researchers to distribute investigative tasks across plan sections, applying relevant skills and learnings to yield a more robust, enriched plan.

How do I apply documented learnings to prevent repeating planning mistakes?▼

Leverage documented learnings from /ce-compound to discover and apply relevant guidance during research, preventing past mistakes from recurring in the deepened plan.

Can I dynamically discover and apply relevant skills to specific plan sections?▼

Yes, the workflow scans available skills and learnings during per-section research, dynamically applying the most relevant guidance to enrich each part of the plan.

What is the best way to enrich plan sections with implementation details?▼

Spawn dedicated per-section researchers to investigate implementation details and patterns, then consolidate their findings into the plan with concrete recommendations and guidance.

Do I need a specific plan file format to use automated research orchestration?▼

Provide the path to a plan file generated by /ce-plan; the orchestration parses the existing plan sections to spawn researchers and update it with enhancement notes.

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