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google-gemini-embeddings by jezweb

Build RAG systems and semantic search with Gemini embeddings (gemini-embedding-001). 768-3072 dimension vectors, 8 task types, Cloudflare Vectorize integration.Use when: vector search, RAG systems, semantic search, document clustering. Troubleshoot: dimension mismatch, wrong task type, rate limits (100 RPM), text truncation (2048 tokens).

DevOps
164 Stars
21 Forks
Updated Jan 18, 2026, 11:49 AM

Why Use This

This skill provides specialized capabilities for jezweb's codebase.

Use Cases

  • Developing new features in the jezweb repository
  • Refactoring existing code to follow jezweb standards
  • Understanding and working with jezweb's codebase structure

Install Guide

2 steps
  1. 1

    Download Ananke

    Skip this step if Ananke is already installed.

  2. 2

    Install inside Ananke

    Click Install Skill, paste the link below, then press Install.

    https://github.com/jezweb/claude-skills/tree/main/skills/google-gemini-embeddings

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Valid SKILL.md

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Source & Community

Repository claude-skills
Skill Version
main
Community
164 21
Updated At Jan 18, 2026, 11:49 AM

Skill Stats

SKILL.md 0 Lines
Total Files 1
Total Size 0 B
License NOASSERTION

Source

GitHub Repository ↗ Commit main ↗ skill.extrachatgpt.com ↗