Running Decision Processes
This skill simulates complex thought processes & problem-solving steps, allowing for more nuanced and realistic AI behavior in scenarios requiring reasoning.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add running-decision-processes npx -- -y @trustedskills/running-decision-processes
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"running-decision-processes": {
"command": "npx",
"args": [
"-y",
"@trustedskills/running-decision-processes"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The running-decision-processes skill enables AI agents to simulate and execute structured decision-making processes. It supports modeling complex scenarios, evaluating options based on predefined criteria, and generating actionable outcomes through logical reasoning.
When to use it
- To evaluate business strategies by simulating different market conditions.
- For planning logistics routes by comparing cost, time, and resource constraints.
- In educational settings to help students practice decision-making in ethical or strategic contexts.
Key capabilities
- Simulates branching decision paths with conditional logic.
- Evaluates outcomes based on weighted criteria.
- Provides visual representations of decision trees.
Example prompts
- "Simulate a decision tree for choosing between two investment options."
- "Evaluate the best route for delivery trucks considering traffic and fuel costs."
- "Create a decision model to help students choose between college majors."
Tips & gotchas
- Ensure all criteria are clearly defined before running simulations.
- Complex models may require simplification for clarity and performance.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
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| Snyk | Pass |
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Passed automated security scans.