tos-vectors
✓Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector databases, similarity search, or TOS Vectors operations.
Installation
SKILL.md
Comprehensive skill for managing vector storage, indexing, and similarity search using the TOS Vectors service - a cloud-based vector database optimized for AI applications.
RAG (Retrieval Augmented Generation) Retrieve relevant context for LLM prompts:
For detailed API reference, see REFERENCE.md For complete workflows, see WORKFLOWS.md For example scripts, see the scripts/ directory
Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector databases, similarity search, or TOS Vectors operations. Source: jneless/tos-vectors-skill.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/jneless/tos-vectors-skill --skill tos-vectors- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-12
- Updated
- 2026-02-18
Quick answers
What is tos-vectors?
Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector databases, similarity search, or TOS Vectors operations. Source: jneless/tos-vectors-skill.
How do I install tos-vectors?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jneless/tos-vectors-skill --skill tos-vectors 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/jneless/tos-vectors-skill
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-12