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decision

Guide complex R&D quest decisions using evidence and user preferences.

Updated May 24, 2026
Search Tags:#decision-making#user interaction#evidence-based#research workflow#R&D process
One-click install
npx skills add https://github.com/leoplasture/STA304_Final_Project --skill decision-leoplasture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision
Source: https://github.com/leoplasture/STA304_Final_Project/tree/main/src/skills/decision
Command: npx skills add https://github.com/leoplasture/STA304_Final_Project --skill decision-leoplasture

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill addresses the need for structured decision-making in research and development quests, especially where multiple options or paths must be considered based on evidence and user preferences.

Core Features & Use Cases

  • Decision-making Support: Offers guidelines for making informed route judgments in quests with non-trivial next steps.
  • Evidence-Based Decision: Ensures decisions are made from durable evidence, not just impressions or assumptions.
  • User Interaction: Allows user input when local evidence cannot safely resolve preference, scope, or cost choices.
  • Documentation and Memory: Provides templates for recording decisions and creating checkpoint memory cards for future reference.

Quick Start

Execute the decision skill to initiate a decision-making process.

Frequently Asked Questions about decision

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

FAQPage Schema
What is evidence-based decision-making in R&D processes?▼

Evidence-based decision-making evaluates durable evidence rather than assumptions to resolve complex research quests and facilitate informed route judgments for non-trivial next steps.

How do I make route judgments for complex research workflows?▼

You make route judgments by utilizing predefined actions and collected evidence to evaluate multiple options, ensuring decisions for your research workflow are structurally informed.

Can I handle mixed evidence and cost choices during a research workflow?▼

Yes, you can handle mixed evidence by triggering user interaction, allowing you to safely resolve local preference, scope, and cost choices during the R&D process.

How do I document decisions and create checkpoint memory cards for future reference?▼

You document decisions by using provided templates to record route judgments and create checkpoint memory cards, ensuring durable evidence is saved for future reference.

When should I request user input for preference and scope choices in R&D?▼

You request user input for preference and scope choices when local evidence cannot safely resolve the decision, ensuring cost choices are explicitly handled by the user.

What are the limitations of using predefined actions for decision-making support?▼

The limitation of predefined actions is that they cannot autonomously resolve preference, scope, or cost choices when local evidence is insufficient, necessitating direct user interaction.

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