selecting-pe-methods

Classify tasks and recommend prompt-engineering methods across five dimensions.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/rd162/skills --skill selecting-pe-methods
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: selecting-pe-methods
Source: https://github.com/rd162/skills/tree/main/selecting-pe-methods
Command: npx skills add https://github.com/rd162/skills --skill selecting-pe-methods

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you decide which prompt engineering method (or combination) to use for a task by evaluating domain, complexity, stakes, and budget, reducing guesswork and maximizing outcome quality.

Core Features & Use Cases

  • Decision-matrix driven method selection across reasoning, knowledge, action, and prompt-structure patterns
  • Provides a structured output with primary method, optional secondary method, self-refine integration, and rationale
  • Works across scenarios like high-stakes planning, iterative tasks, research synthesis, and creative development
  • Self-contained and adaptable into existing prompts

Quick Start

Provide task details including stakes, complexity, divergence, freshness, and budget to receive a prioritized PE method recommendation.

Frequently Asked Questions about selecting-pe-methods

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

FAQPage Schema
How do I choose the right prompt engineering method for a complex task?

To choose a prompt engineering method, evaluate your task across five dimensions: stakes, complexity, divergence, freshness, and budget. This structured approach reduces guesswork by classifying the task and matching it with the most suitable reasoning, knowledge, or action pattern.

What is a decision matrix for selecting prompt engineering techniques?

A decision matrix for prompt engineering is a structured framework that classifies tasks based on stakes, complexity, divergence, freshness, and budget. It delivers a fixed-format template recommending primary and secondary methods, self-refine integration, and a rationale for reproducible outcomes.

When should I use self-refine integration in my prompt workflow?

Use self-refine integration in your prompt workflow for high-stakes planning, iterative tasks, research synthesis, and creative development. It is recommended when your task evaluation indicates a need for structured output refinement alongside the primary prompt engineering method.

Can I use a structured prompt template for real-time tool use and research?

Yes, you can use a structured prompt template for real-time tool use and research. The method selection process applies to these scenarios by evaluating task dimensions and delivering a fixed-format output including TASK, DIMENSIONS, METHOD, STRUCTURE, and RATIONALE for easy integration.

What is the best way to structure prompts for high-stakes planning tasks?

The best way to structure prompts for high-stakes planning is to use a decision-matrix driven method selection. By assessing stakes, complexity, divergence, freshness, and budget, you receive a structured template with a primary method, optional secondary method, and rationale to maximize outcome quality.

Do I need to provide task details to get a prompt engineering method recommendation?

Yes, you need to provide task details including stakes, complexity, divergence, freshness, and budget. Inputting these five dimensions allows the system to classify your task and generate a prioritized prompt engineering method recommendation with a structured, reproducible output.