Automatically extract entities, events and their causal relationships from logs and memories, build a dynamic knowledge graph and support query and visualization.
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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 causal-graphOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install causal-graphβ 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/causal-graph/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Causal Graph Builder can do for your AI workflow
Automatically extract 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 Causal Graph Builder
Help me get started with Causal Graph Builder
Explains what Causal Graph Builder does, walks through the setup, and runs a quick demo based on your current project
Use Causal Graph Builder to automatically extract entities, events and their causal relationshi...
Invokes Causal Graph Builder with the right parameters and returns the result directly in the conversation
What can I do with Causal Graph Builder in my data & analytics workflow?
Lists the top use cases for Causal Graph Builder, with example commands for each scenario
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Causal Graph Builder extends your AI assistant with the ability to automatically extract entities, events and their causal relationships from logs and memories, build a dynamic knowledge graph and support query and visualization. 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 Causal Graph Builder as its underlying capability.
Causal Graph Builder 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 Causal Graph Builder 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.
To install Causal Graph Builder, copy the skill folder to `~/.claude/skills/causal-graph/` for use across all your projects, or `.claude/skills/causal-graph/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/causal-graph` or just describe your goal and the AI will pick it up automatically.
Causal Graph Builder has 478 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/causal-graph/ for personal use (all projects), or .claude/skills/causal-graph/ for project-specific use. Restart your AI client, then invoke with /causal-graph or let the AI discover it automatically.
Causal Graph Builder supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Causal Graph Builder is free to install. Check the repository for licensing information.
Automatically extract entities, events and their causal relationships from logs and memories, build a dynamic knowledge graph and support query and visualization.
Graphic Design
Support design understanding from basic visuals to professional production and theory.
Causal Inference
Add causal reasoning to agent actions. Trigger on ANY high-level action with observable outcomes - emails, messages, calendar changes, file operations, API calls, notifications, reminders, purchases, deployments. Use for planning interventions, debugging failures, predicting outcomes, backfilling historical data for analysis, or answering "what happens if I do X?" Also trigger when reviewing past actions to understand what worked/failed and why.
Graphiti
Knowledge graph operations via Graphiti API. Search facts, add episodes, and extract entities/relationships.
Automate my data & analytics tasks using Causal Graph Builder
Identifies repetitive steps in your workflow and sets up Causal Graph Builder to handle them automatically
Causal Graph Builder is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.