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Google Gemini File Search

secondsky/claude-skills

This is managed RAG without the hassle of setting up a vector database. Upload PDFs, Word docs, Excel files, or 100+ other formats, and Google handles chunking, embeddings, and vector search automatically. The real win is document immutability forcing you into a delete-and-reupload pattern, which sounds annoying but prevents versioning chaos. Watch for the 3x storage multiplier (embeddings plus metadata) and only use Gemini 2.5 models. Citations come built in through grounding metadata. Best for knowledge bases where documents don't change hourly and you want predictable costs at $0.15 per million tokens indexed once. If you need real-time updates or custom embedding control, look at Cloudflare Vectorize instead.

skills.sh installs
272
GitHub stars
248
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add secondsky/claude-skills --skill google-gemini-file-search --agent claude-code

Installs into .claude/skills of the current project.

Files

This is managed RAG without the hassle of setting up a vector database. Upload PDFs, Word docs, Excel files, or 100+ other formats, and Google handles chunking, embeddings, and vector search automatically. The real win is document immutability forcing you into a delete-and-reupload pattern, which sounds annoying but prevents versioning chaos. Watch for the 3x storage multiplier (embeddings plus metadata) and only use Gemini 2.5 models. Citations come built in through grounding metadata. Best for knowledge bases where documents don't change hourly and you want predictable costs at $0.15 per million tokens indexed once. If you need real-time updates or custom embedding control, look at Cloudflare Vectorize instead.

Browse the repository on GitHub

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Details

Repository
github.com/secondsky/claude-skills
Categories
AI & Agent Building, Sales & Marketing
First seen
Jun 3, 2026

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