How does it handle uncertainty?

It uses chance nodes and expected value calculations within decision trees to model and compare paths with different probabilities and potential values.

Can I use this for software architecture decisions?

Yes, it is specifically designed to help developers and architects evaluate competing technologies by weighting factors like performance, scalability, cost, and maintainability.

Which decision-making techniques does this skill support?

The skill supports decision tables for rule-based logic, weighted scoring matrices for multi-criteria evaluation, Pugh matrices for concept selection, and decision trees for probabilistic outcomes.

Does it provide visual representations of decisions?

Yes, for sequential decisions, it can generate Mermaid.js diagram code to create visual decision trees directly within your documentation.

Decision Analysis & Modeling

Name: Decision Analysis & Modeling
Author: melodic-software

bymelodic-software

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生産性とワークフロー

Models and analyzes complex choices using structured frameworks like decision tables, weighted scoring matrices, and decision trees.

概要

The Decision Analysis skill empowers Claude to act as a sophisticated business analyst, providing structured frameworks for navigating complex organizational and technical choices. By implementing industry-standard methodologies such as weighted scoring matrices (Pugh Matrix) and probabilistic decision trees, it transforms subjective judgment into transparent, defensible logic. Whether you are evaluating software architectures, prioritizing product features, or modeling sequential business risks, this skill ensures every decision is backed by traceable rationale and rigorous sensitivity analysis.

主な機能

Builds visual decision trees with Mermaid.js for modeling sequential choices and uncertainty.
Performs sensitivity analysis to test how changes in priorities affect the final outcome.
Produces structured narrative summaries and YAML records for decision traceability.
Generates comprehensive decision tables to map complex conditional logic and business rules.
Creates weighted scoring matrices to objectively compare alternatives against prioritized criteria.
12 GitHub stars

ユースケース

Evaluating and selecting technology stacks or third-party vendors for new projects.
Prioritizing product features by balancing business value, development effort, and risk.
Modeling complex business logic and conditional workflows for enterprise applications.

概要

主な機能

Builds visual decision trees with Mermaid.js for modeling sequential choices and uncertainty.
Performs sensitivity analysis to test how changes in priorities affect the final outcome.
Produces structured narrative summaries and YAML records for decision traceability.
Generates comprehensive decision tables to map complex conditional logic and business rules.
Creates weighted scoring matrices to objectively compare alternatives against prioritized criteria.
12 GitHub stars

ユースケース

Evaluating and selecting technology stacks or third-party vendors for new projects.
Prioritizing product features by balancing business value, development effort, and risk.
Modeling complex business logic and conditional workflows for enterprise applications.