Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.
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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 embeddingsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install embeddingsβ 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/embeddings/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Embeddings can do for your AI workflow
Generate, store, and search directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,028+ 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 Embeddings
Help me get started with Embeddings
Explains what Embeddings does, walks through the setup, and runs a quick demo based on your current project
Use Embeddings to generate, store, and search vector embeddings with provider selecti...
Invokes Embeddings with the right parameters and returns the result directly in the conversation
What can I do with Embeddings in my data & analytics workflow?
Lists the top use cases for Embeddings, with example commands for each scenario
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Embeddings extends your AI assistant with the ability to generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization. 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 Embeddings as its underlying capability.
Embeddings 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 Embeddings 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.
Getting started with Embeddings takes about two minutes. Place the skill at `~/.claude/skills/embeddings/` (personal, all projects) or `.claude/skills/embeddings/` (project-specific), then restart your AI client. From that point, typing `/embeddings` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Embeddings has been installed 1,028 times, making it one of the more actively used skills in the Data & Analytics 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/embeddings/ for personal use (all projects), or .claude/skills/embeddings/ for project-specific use. Restart your AI client, then invoke with /embeddings or let the AI discover it automatically.
Embeddings supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Embeddings is free to install. Check the repository for licensing information.
Generate, store, and search vector embeddings with provider selection, chunking strategies, and similarity search optimization.
Automate my data & analytics tasks using Embeddings
Identifies repetitive steps in your workflow and sets up Embeddings to handle them automatically
Embeddings is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.