Generate text embeddings using Google Gemini API for RAG, semantic similarity, classification, and clustering tasks. Invoke when user wants to embed text, create embeddings, or convert text to vectors with Gemini.
npx playbooks add skill legacybridge-tech/claude-plugins --skill gemini-embed
Built for developer workflow workflows, Gemini Embed helps AI coding agents generate text embeddings using google gemini api for rag, semantic similarity, classification, and clustering tasks. invoke when user wants to embed text, create embeddings, or convert text to vectors with gemini.
The 31-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Generate text embeddings using Google Gemini API for RAG, semantic similarity, classification, and clustering tasks. Invoke when user wants to embed text, create embeddings, or convert text to vectors with Gemini.
Gemini Embed is a free developer workflow skill for AI coding agents. Generate text embeddings using Google Gemini API for RAG, semantic similarity, classification, and clustering tasks. Invoke when user wants to embed text, create embeddings, or convert text to vectors with Gemini.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill legacybridge-tech/claude-plugins --skill gemini-embed in your terminal to install Gemini Embed into your Claude Code session. It works immediately after installation.
Gemini Embed is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Gemini Embed is completely free and open source. The full source is available on GitHub at https://github.com/legacybridge-tech/claude-plugins/tree/main/gemini-api/skills/gemini-embed. You only need a subscription to the AI agent you use it with.
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