Use Case
memory_baidu_embedding_db isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Semantic memory system using Baidu Embedding-V1 for secure, local vector storage and retrieval in Clawdbot with SQLite persistence. This guide covers how to deploy memory_baidu_embedding_db for your team, standardize prompts, and create shared workflows that everyone can use.
Install memory_baidu_embedding_db in your project directory: .claude/skills/memory-baidu-embedding-db/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use memory_baidu_embedding_db in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing memory_baidu_embedding_db
How can my team use memory_baidu_embedding_db together?
Set up memory_baidu_embedding_db for our project so everyone can use it
Create a shared workflow using memory_baidu_embedding_db for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install memory-baidu-embedding-dbOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install memory-baidu-embedding-dbβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/memory-baidu-embedding-db/π‘Extract and place the folder at the path above, then restart your agent.