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.