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decision-synthesis

Convert competing analyses and mapped options into a defensible choice using weighted criteria.

7|2|Updated Mar 5, 2026
Search Tags:#trade-offs#sensitivity analysis#decision-making#stakeholders#decision matrix#regret minimization
One-click install
npx skills add https://github.com/AndurilCode/craftwork --skill decision-synthesis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision-synthesis
Source: https://github.com/AndurilCode/craftwork/tree/main/skills/decision-synthesis
Command: npx skills add https://github.com/AndurilCode/craftwork --skill decision-synthesis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decision-making stalls when analysis produces many plausible options but no clear, defensible choice; this skill converts criteria and scores into a transparent decision you can act on.

Core Features & Use Cases

  • Clarifies the exact decision by separating what is being decided from how people are evaluating it (horizon, authority, reversibility, and delay costs).
  • Surfaces and compares all options including status quo, hybrids, sequenced plans, and options that were prematurely dismissed.
  • Builds a weighted decision matrix with must-haves and graded want-to-haves, then challenges the result through sensitivity and reasoning checks.
  • Produces an actionable decision output including recommendation, confidence (based on information quality), and regret/minimization guidance for irreversibility.

Quick Start

Use the decision-synthesis skill after your analysis to pick between competing options by weighing explicit criteria and producing a traceable recommendation for the final decision.

Frequently Asked Questions about decision-synthesis

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

FAQPage Schema
How do I make a defensible choice when analysis leaves too many plausible options?▼

Decision synthesis converts competing analyses into a defensible choice by applying a weighted decision matrix that scores options against must-have and want-to-have criteria, yielding a single traceable recommendation.

What is the best way to handle multi-stakeholder disagreement on decision priorities?▼

Multi-stakeholder disagreement is resolved by specifying weighted criteria with explicit rationales, allowing stakeholders to score options transparently and validating the outcome through sensitivity and regret minimization checks.

How do I perform a sensitivity analysis on a weighted decision matrix?▼

Sensitivity analysis validates a weighted decision matrix by challenging the scores and weights to ensure the recommendation holds up, checking if altering priority weights changes the final choice.

When should I use regret minimization checks in decision-making?▼

Regret minimization checks are used in decision-making when facing irreversibility, helping to evaluate the potential downside of a choice and providing guidance to minimize regret for high-stakes commitments.

How do I separate what is being decided from how people are evaluating it?▼

You separate what is being decided from evaluation methods by defining the decision scope explicitly, mapping the horizon, authority, reversibility, and delay costs before enumerating and scoring options.

Can I use decision synthesis for scenarios where a rich diagnostic phase produced no winner?▼

Decision synthesis is specifically suitable for scenarios where a rich diagnostic phase produced no winner, converting mapped options and competing analyses into an actionable, structured recommendation.

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