master-planner-researcher-prp

Generate research-backed execution plans using Tavily, Context7, and Sequential Thinking.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/GrupoUS/gpus --skill master-planner-researcher-prp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: master-planner-researcher-prp
Source: https://github.com/GrupoUS/gpus/tree/main/.claude/skills/planning
Command: npx skills add https://github.com/GrupoUS/gpus --skill master-planner-researcher-prp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms complex user requests into detailed, research-backed plans, ensuring all requirements are met with a clear execution strategy and validation steps.

Core Features & Use Cases

  • Research Synthesis: Gathers information from web searches (Tavily) and official documentation (Context7) to inform planning.
  • Atomic Task Decomposition: Breaks down complex requests into small, verifiable tasks with dependencies and rollback procedures.
  • PRP Generation: Creates a structured Product Requirement Prompt (PRP) ready for implementation.
  • Use Case: When asked to "design a new authentication system with SOC2 compliance," this Skill will research best practices, identify potential security risks, and generate a detailed plan with specific implementation tasks, validation checks, and rollback strategies.

Quick Start

Use the master-planner-researcher-prp skill to create a research-backed plan for adding SSO to our SaaS platform.

Frequently Asked Questions about master-planner-researcher-prp

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

FAQPage Schema
How do I create a research-backed plan for complex feature development?

To create a research-backed plan for complex feature development, you need a Product Requirement Prompt (PRP) that integrates web research, official documentation analysis, and structured reasoning. This approach ensures execution-ready plans with atomic tasks, validation checks, and rollback procedures for one-pass success.

What is task decomposition and how does it help with system architecture planning?

Task decomposition for system architecture planning breaks down complex requests into small, verifiable atomic tasks with clear dependencies. Using structured reasoning ensures each component includes validation steps and rollback procedures, reducing uncertainty in high-complexity integrations and new feature development.

How do I validate implementation steps for high-uncertainty projects?

You validate implementation steps for high-uncertainty projects by generating a structured PRP that includes dense context, atomic tasks with specific validation checks, and clear output contracts. Researching official documentation and best practices beforehand ensures all requirements are verifiable during execution.

Can I use web search and official documentation analysis to generate execution-ready plans?

Yes, you can generate execution-ready plans by synthesizing information from web searches and official documentation analysis. Integrating these sources with structured reasoning creates a comprehensive PRP that covers system architecture, identifies risks, and outlines specific implementation tasks with validation strategies.

What is the best way to plan SOC2 compliant authentication system integrations?

The best way to plan SOC2 compliant authentication integrations is to research security best practices and official documentation to identify potential risks. This generates a detailed plan with specific implementation tasks, validation checks, and rollback strategies ensuring compliance and secure architecture.

When should I not use a PRP for task planning?

You should avoid using a PRP for task planning when dealing with simple, low-uncertainty requests that do not require extensive web research or official documentation analysis. PRPs are designed for complex system architecture, new feature development, and integrations needing dense context and validation steps.