This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
npx playbooks add skill rshvr/unofficial-cohere-best-practices --skill cohere-embeddings
This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
The 21-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.
Cohere Embeddings is a free developer workflow skill for AI coding agents. This skill helps you optimize vector search and RAG with Cohere embeddings, covering embed-v4 and input_type best practices for accurate retrieval.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill rshvr/unofficial-cohere-best-practices --skill cohere-embeddings in your terminal to install Cohere Embeddings into your Claude Code session. It works immediately after installation.
Cohere Embeddings is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Cohere Embeddings is completely free and open source. The full source is available on GitHub at https://github.com/rshvr/unofficial-cohere-best-practices/tree/main/skills/cohere-embeddings. You only need a subscription to the AI agent you use it with.
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