google-gemini-embeddings

12

This skill provides complete coverage of Google Gemini embeddings API (gemini-embedding-001) for building RAG systems, semantic search, document clustering, and similarity matching. Use when implementing vector search with Google's embedding models, integrating with Cloudflare Vectorize, or building retrieval-augmented generation systems. Covers SDK usage (@google/genai), fetch-based Workers implementation, batch processing, 8 task types (RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARI...

Also in: testing

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Installation for Agentic Skill

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skilz install jackspace/ClaudeSkillz/google-gemini-embeddings
skilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent opencode
skilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent codex
skilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jackspace/ClaudeSkillz
2. Copy the agent skill directory:
cp -r ClaudeSkillz/skills/google-gemini-embeddings ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
ClaudeSkillz
Type
Technical
Meta-Domain
web api
Primary Domain
api
Market Score
12

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