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Decision Helper

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eddiebe147·vlatest·other

This Decision Helper AI assists you in weighing pros and cons to make informed choices, boosting clarity and reducing analysis paralysis.

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This skill no longer installs under the name decision-helper. eddiebe147/claude-settings is deleted or private, so it cannot be installed from.

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Publisher

eddiebe147

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About this skill

The Decision Helper skill provides a structured framework for AI agents to analyze complex problems, weigh multiple options against specific criteria, and generate reasoned recommendations. It transforms raw data into actionable insights by systematically evaluating pros, cons, and potential outcomes before suggesting a final course of action.

When to use it

  • You need to evaluate strategic business moves where financial risk and market impact must be balanced.
  • You are facing a personal dilemma requiring an objective breakdown of conflicting values or constraints.
  • You want to simulate different scenarios to predict the likely consequences of specific decisions.
  • You require a step-by-step logical audit of your own reasoning process before committing to a choice.

Key capabilities

  • Systematic analysis of multiple options against defined criteria.
  • Generation of pros and cons lists for each alternative.
  • Prediction of short-term and long-term outcomes based on provided context.
  • Structured recommendation synthesis leading to a clear final verdict.

Example prompts

  • "Analyze whether I should accept a job offer in a new city versus staying at my current role, considering salary, career growth, and family proximity."
  • "Evaluate the pros and cons of launching a new product feature next month versus waiting for more user feedback data."
  • "Help me decide between investing in stocks or real estate by comparing risk tolerance, liquidity needs, and expected returns over five years."

Tips & gotchas

Ensure you provide specific constraints and criteria (e.g., budget limits, timeframes) to ground the agent's analysis in reality. The quality of the recommendation depends heavily on the accuracy and completeness of the data you supply about each option.