Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install decision-treesOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install decision-treesβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/decision-trees/π‘Extract and place the folder at the path above, then restart your agent.
Category
Finance & InvestmentWhat Decision Trees can do for your AI workflow
Decision tree analysis directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,978+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Decision Trees
Help me get started with Decision Trees
Explains what Decision Trees does, walks through the setup, and runs a quick demo based on your current project
Use Decision Trees to decision tree analysis for complex decision-making across all domains
Invokes Decision Trees with the right parameters and returns the result directly in the conversation
What can I do with Decision Trees in my finance & investment workflow?
Lists the top use cases for Decision Trees, with example commands for each scenario
Guides & tutorials for AI skills
Decision Trees extends your AI assistant with the ability to decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Decision Trees as its underlying capability.
Decision Trees works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Decision Trees once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Decision Trees installs like any other MCP skill: drop the folder into `~/.claude/skills/decision-trees/` for global access, or `.claude/skills/decision-trees/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/decision-trees`, or let the AI decide when it's the right tool for your request.
Decision Trees has been installed 3,978 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/decision-trees/ for personal use (all projects), or .claude/skills/decision-trees/ for project-specific use. Restart your AI client, then invoke with /decision-trees or let the AI discover it automatically.
Decision Trees supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Decision Trees is free to install. Check the repository for licensing information.
Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.
Automate my finance & investment tasks using Decision Trees
Identifies repetitive steps in your workflow and sets up Decision Trees to handle them automatically
MCP vs traditional plugins: what's the difference?
Decision Trees is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.