google-gemini-embeddings
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...
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Installation for Agentic Skill
View all platforms →skilz install jackspace/ClaudeSkillz/google-gemini-embeddingsskilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent opencodeskilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent codexskilz install jackspace/ClaudeSkillz/google-gemini-embeddings --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jackspace/ClaudeSkillzcp -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
Browse Category
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