embeddings
✓Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features.
Installation
SKILL.md
Convert text to dense vector representations for semantic search and similarity.
| Model | Dims | Cost | Use Case |
| text-embedding-3-small | 1536 | $0.02/1M | General purpose | | text-embedding-3-large | 3072 | $0.13/1M | High accuracy | | nomic-embed-text (Ollama) | 768 | Free | Local/CI |
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features. Source: yonatangross/skillforge-claude-plugin.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill embeddings- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is embeddings?
Text embeddings for semantic search and similarity. Use when converting text to vectors, choosing embedding models, implementing chunking strategies, or building document similarity features. Source: yonatangross/skillforge-claude-plugin.
How do I install embeddings?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill embeddings 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/yonatangross/skillforge-claude-plugin
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01