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ai-tour-26-zava-diy-dataset-plus-mcp
No description provided.
67stars
42forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
AI summary
Auto-generated overview of what this skill does and when to reach for it.
A PostgreSQL dataset and MCP servers simulating a home improvement retailer for AI-powered retail analytics, product search, and secure multi-store data access.
Use this when
- Need realistic retail data for testing AI product recommendations
- Building a customer service chatbot for home improvement products
- Developing store-specific inventory dashboards
- Testing semantic search for product discovery
- Creating multi-tenant retail analytics applications
Don't use when
- Building a non-retail application
- Need a simple key-value store instead of relational data
- Working with real-time transaction systems requiring strict ACID compliance
Capabilities
- PostgreSQL database with 50K+ customers and 200K+ transactions
- Two MCP servers for basic and semantic product search
- Sales analysis MCP server with multi-table database access
- Row-level security for multi-store data isolation
- pgvector extension for vector embeddings and similarity search
- Realistic seasonal customer behavior patterns and product catalog
InstallMCPInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest microsoft/ai-tour-26-zava-diy-dataset-plus-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/ai-tour-26-zava-diy-dataset-plus-mcp curl -fsSL https://raw.githubusercontent.com/microsoft/ai-tour-26-zava-diy-dataset-plus-mcp/main/README.md -o ~/.claude/skills/ai-tour-26-zava-diy-dataset-plus-mcp/SKILL.md
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