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embedding-optimization

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Check before installing.

By ancoleman/ai-design-components (GitHub) · design · 530 stars · scanned at commit 76551b7

Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.

Works with any agent that supports SKILL.md skills.

What this skill can do

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Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'embedding-optimization' ] || [ -L ~/.agents/skills/'embedding-optimization' ]; then echo 'A skill folder named embedding-optimization already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ancoleman/ai-design-components' "$d" && git -C "$d" checkout --quiet '76551b7b19ebc667764ec75da14990d0aef8b6e5' -- 'skills/embedding-optimization' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/embedding-optimization' ~/.agents/skills/'embedding-optimization' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'embedding-optimization' ~/.claude/skills/'embedding-optimization' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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