What are the different depth levels available?

The skill supports Light, Medium, and Complete depths, allowing users to scale the complexity of the analysis based on the importance and 'weight' of the decision.

What is the primary goal of the Landscape Mapping skill?

The primary goal is to map the structure of a decision by surfacing all possible alternatives and the assumptions underlying them before moving into the evidence-gathering phase.

How does it help prevent decision bias?

It includes a 'Bias Watch' for anchoring and groupthink, forces the inclusion of a 'do nothing' alternative, and requires explicit identification of assumptions versus facts.

What is a 'Decision Intersection'?

Intersections define the relationships between decision points, identifying if a choice depends on another, conflicts with it, or reinforces a specific path.

Landscape Mapping

Name: Landscape Mapping
Author: wme3

bywme3

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Productivity & Workflow

Maps complex decision structures by surfacing alternatives, underlying assumptions, and logical dependencies to ensure rigorous analysis.

Landscape Mapping is a specialized Claude Code skill designed for the 'Gate 2' phase of structured decision-making. It helps users visualize the full scope of a problem by identifying multiple alternatives—including 'do nothing' options—and probing for the underlying assumptions and choices that define each path. By mapping decision intersections and categorizing knowns versus unknowns, it provides a comprehensive framework for navigating uncertainty and preventing cognitive biases like anchoring or groupthink before committing to deep research.

Key Features

01Structured alternative generation including contrarian and 'do nothing' options

02Adaptive analysis depth based on decision weight (Light, Medium, or Complete)

033 GitHub stars

04Intersection mapping to track dependencies, conflicts, and reinforcements

05Categorized known/unknown matrices to prioritize research efforts

06Decision point identification with confidence scoring for assumptions and choices

Use Cases

01Evaluating major architectural changes or technology stack migrations

02Strategic product planning involving multiple competing feature directions

03High-stakes technical risk assessment where assumptions must be validated

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wme3/deliberatedecisions landscape-mapping

For use in Claude.ai and ChatGPT

Download Skill