embedding-strategies

Name: embedding-strategies
Rating: 2.7 (1 reviews)
Author: wshobson

54.2

Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.

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Also in: machine learning

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install wshobson/agents/embedding-strategies

OpenCode (CLI) Fast

skilz install wshobson/agents/embedding-strategies --agent opencode

OpenAI Codex (CLI) Native

skilz install wshobson/agents/embedding-strategies --agent codex

Gemini CLI (Project) Project

skilz install wshobson/agents/embedding-strategies --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

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

Manual Installation

1. Clone the repository:

git clone https://github.com/wshobson/agents

2. Copy the agent skill directory:

cp -r agents/plugins/llm-application-dev/skills/embedding-strategies ~/.claude/skills/

View on GitHub

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

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: wshobson (GitHub)
Repository: agents
Type: Technical
Meta-Domain: development
Primary Domain: ci cd
Market Score: 54.2

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