Decision Dynamo for Openclaw

Decision Dynamo is a weighted decision matrix tool that scores and ranks up to four options across five configurable criteria to ensure objective decision-making.

mdomerofski
v1.0.0
Mar 7, 2026
0
752
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install decision-dynamo

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install decision-dynamo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Decision Dynamo?

Decision Dynamo transforms subjective choices into objective data through a structured weighted matrix analysis. As a core part of the Openclaw Skills ecosystem, it allows developers and managers to compare 2-4 options based on leverage, alignment, cost, and effort. By applying mathematical rigor to the decision-making process, it eliminates bias and provides a clear, ranked path forward for any complex scenario.

The skill is particularly effective for navigating analysis paralysis. It forces the user or agent to define priorities through weights and then evaluates each option against those priorities. The built-in inversion logic ensures that negative factors like financial cost and emotional drag are correctly calculated so that lower costs result in higher overall scores.

Decision Dynamo Use Cases

  • Choosing between multiple technical architectures or frameworks for a software project.
  • Prioritizing business goals or marketing strategies based on effort versus leverage.
  • Making personal decisions by weighing emotional drag against financial cost and skill gain.
  • Helping AI agents provide structured, data-backed recommendations to users during interactive sessions.

How Decision Dynamo Works

  1. Gather options: Identify 2 to 4 specific choices that need to be compared and ranked.
  2. Define criteria importance: Assign weights (1-10) to the five standard decision criteria to establish priorities.
  3. Score options: Rate each individual option from 1-10 against every criterion.
  4. Run the matrix: Execute the decision matrix script to calculate the weighted totals for all choices.
  5. Present results: Review the ranked output and the logical reasoning for the top-scoring option provided by the agent.

Decision Dynamo Setup

To start using this tool within your Openclaw Skills library, ensure your environment is configured for Python. You can run the skill in two distinct modes:

# To run in guided interactive mode
python3 scripts/decision_matrix.py

# To run with a pre-defined JSON file
python3 scripts/decision_matrix.py input.json

Reference the criteria documentation for detailed information on the JSON schema and inversion logic.

Decision Dynamo Data Schema & Taxonomy

The system uses a balanced matrix of positive and negative criteria. Negative criteria are automatically inverted using the formula (11 - score) * weight to ensure high scores always represent the better choice.

Criterion Impact Description
Skill/Leverage Gain Positive The long-term advantage or growth provided by the choice.
Goal Alignment Positive How well the option matches core mission or objectives.
Mental/Emotional Drag Negative The psychological burden or difficulty involved.
Financial Cost Negative The monetary investment or resource spend required.
Time and Effort Negative The time and labor needed for implementation.

Decision Dynamo Advanced Features

  • Sensitivity analysis: Easily re-run the matrix with adjusted weight profiles to see how changing priorities affects the ranking.
  • Automated inversion logic: Built-in mathematical handling for negative metrics to maintain ranking consistency.
  • Dual-mode operation: Support for both interactive command-line prompts and headless programmatic JSON inputs.
  • Agent-guided scoring: AI-assisted prompts that help users provide accurate 1-10 ratings for subjective criteria.

SKILL.md


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