Provides calibrated decision analysis using Charlie Munger-style multiple mental models, inversion, incentive mapping, circle-of-competence checks, misjudgme...
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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 worldly-wisdomOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install worldly-wisdomβ 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/worldly-wisdom/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Worldly Wisdom can do for your AI workflow
Calibrated decision analysis directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Worldly Wisdom
Help me get started with Worldly Wisdom
Explains what Worldly Wisdom does, walks through the setup, and runs a quick demo based on your current project
Use Worldly Wisdom to calibrated decision analysis using Charlie Munger-style multiple me...
Invokes Worldly Wisdom with the right parameters and returns the result directly in the conversation
What can I do with Worldly Wisdom in my data & analytics workflow?
Lists the top use cases for Worldly Wisdom, with example commands for each scenario
Guides & tutorials for AI skills
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Worldly Wisdom extends your AI assistant with the ability to provides calibrated decision analysis using Charlie Munger-style multiple mental models, inversion, incentive mapping, circle-of-competence checks, misjudgme... 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 Worldly Wisdom as its underlying capability.
Worldly Wisdom 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 Worldly Wisdom 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.
Worldly Wisdom installs like any other MCP skill: drop the folder into `~/.claude/skills/worldly-wisdom/` for global access, or `.claude/skills/worldly-wisdom/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/worldly-wisdom`, or let the AI decide when it's the right tool for your request.
Worldly Wisdom has 373 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. 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/worldly-wisdom/ for personal use (all projects), or .claude/skills/worldly-wisdom/ for project-specific use. Restart your AI client, then invoke with /worldly-wisdom or let the AI discover it automatically.
Worldly Wisdom supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Worldly Wisdom is free to install. Check the repository for licensing information.
Provides calibrated decision analysis using Charlie Munger-style multiple mental models, inversion, incentive mapping, circle-of-competence checks, misjudgme...
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Worldly Wisdom is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.