Decision Helper for Openclaw

An AI-powered decision analysis assistant that guides users through complex choices by weighing pros, cons, risks, and next steps without making the choice for them.

chenyuan35
v1.0.0
May 22, 2026
0
794
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install ai-decision-coach

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 ai-decision-coach 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 Helper?

The Decision Helper is a structured framework designed to guide users through complex decision-making dilemmas. Developed as part of the ecosystem of Openclaw Skills, this tool acts as an objective advisor, helping you weigh the short-term and long-term benefits, risks, opportunity costs, and emotional inclination of any given situation.

Rather than making decisions for you, this skill clarifies the landscape of your options. It combines logical analysis with emotional intelligence and matches your choice with one of four decision-making profiles (rational, intuitive, anxious, or impulsive) to deliver actionable next steps.

Decision Helper Use Cases

  • Career Transitions: Deciding whether to leave a stable job to pursue entrepreneurship or stay in your current role.
  • Major Life Choices: Evaluating relocation, investments, or large financial purchases.
  • Business Dilemmas: Analyzing product directions, team structures, or resource allocations.
  • Overcoming Analysis Paralysis: Navigating situations where multiple choices look equally attractive or equally risky.

How Decision Helper Works

  1. Define the Dilemma: The AI helps you clarify the exact decision problem, the available options, and any associated deadlines.
  2. Multi-Dimensional Analysis: Evaluates each option across five dimensions: short-term gain, long-term gain, risk, opportunity cost, and emotional preference.
  3. Assess Risks: Explores the worst-case scenario, irreversibility of the decision, and the probability of regret 10 years from now.
  4. Style Alignment: Matches the analysis to your personal decision style (Rational, Intuitive, Anxious, or Impulsive) to deliver tailored guidance.
  5. Actionable Delivery: Outputs a structured report in JSON and Markdown with a summary, comparative table, risk evaluation, and concrete next steps.

Decision Helper Setup

To integrate the Decision Helper into your project, ensure you have the Openclaw CLI installed, and then load this custom skill pattern into your agent environment:

# Standard activation pattern for Openclaw Skills
claw install decision-helper

No complex API keys or databases are required; it runs directly inside your LLM runtime by executing the structured decision workflow.

Decision Helper Data Schema & Taxonomy

The skill outputs structured data in both JSON (for programmatic ingestion) and human-readable Markdown.

JSON Output Structure

{
  \"summary\": \"One sentence summarizing the dilemma\",
  \"options\": [\"Option A\", \"Option B\"],
  \"analysis\": {
    \"pros_cons\": \"Pros and cons analysis\",
    \"risk\": \"Risk evaluation\",
    \"opportunity_cost\": \"Opportunity cost\"
  },
  \"recommendation\": \"Suggested approach (without deciding for you)\",
  \"next_steps\": [\"Step 1\", \"Step 2\", \"Step 3\"]
}

Comparison Dimensions

Dimension Description
Short-term Gain Immediate benefits of choosing an option
Long-term Gain Sustainable advantages and future payoff
Risk Potential failure points and negative impacts
Opportunity Cost What you sacrifice by not choosing other options

Decision Helper Advanced Features

  • Non-Directive Advisory Engine: Designed strictly to keep the decision-making agency in the user's hands while providing structural clarity.
  • Cognitive Style Matching: Automatically adapts its feedback tone to match rational, intuitive, anxious, or impulsive thinkers.
  • Structured Output Dualism: Generates both clean JSON schemas for developer integrations and beautiful Markdown reports for human review.
  • Irreversibility Analysis: Features a framework for determining whether a choice is a 'one-way door' or a 'two-way door' to mitigate long-term regret.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*