similarity-search-patterns
✓Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
Installation
SKILL.md
Patterns for implementing efficient similarity search in production systems.
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. Source: rmyndharis/antigravity-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rmyndharis/antigravity-skills --skill similarity-search-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/rmyndharis/antigravity-skills --skill similarity-search-patterns- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is similarity-search-patterns?
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. Source: rmyndharis/antigravity-skills.
How do I install similarity-search-patterns?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rmyndharis/antigravity-skills --skill similarity-search-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/rmyndharis/antigravity-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01