Skill: olegnazarov23/warehouse-ui (version 0.10.0)

--- name: warehouse-ui description: Universal database IDE CLI — query PostgreSQL, MySQL, SQLite, BigQuery, MongoDB with cost projection version: 0.10.0 homepage: https://github.com/olegnazarov23/warehouse-ui metadata: {"openclaw": {"emoji": "db", "requires": {"bins": ["warehouse-ui"]}, "primaryEnv": "DATABASE_URL", "os": ["darwin", "linux", "win32"], "install": [{"kind": "github-release", "repo": "olegnazarov23/warehouse-ui", "bins": ["warehouse-ui"], "label": "Download from GitHub Releases"}]}} --- # Warehouse UI — Database Query Tool Use this skill to connect to databases, explore schemas, run queries, estimate costs, and generate SQL from natural language. ## Installation Download from GitHub Releases: https://github.com/olegnazarov23/warehouse-ui/releases - **macOS**: Download the DMG, drag to Applications, then add to PATH: `ln -s /Applications/warehouse-ui.app/Contents/MacOS/warehouse-ui /usr/local/bin/warehouse-ui` - **Windows**: Run the installer EXE, it adds to PATH automatically ## Supported Databases - PostgreSQL - MySQL - SQLite - BigQuery (with cost projection) - MongoDB ## Connect to a Database Before running queries, establish a connection: ```bash # From a connection URL warehouse-ui connect --url "postgres://user:pass@localhost:5432/mydb" # With explicit parameters warehouse-ui connect --type postgres --host localhost:5432 --database mydb --user admin --password secret # SQLite (local file) warehouse-ui connect --type sqlite --database /path/to/data.db # BigQuery (service account) warehouse-ui connect --type bigquery --database my-gcp-project --option sa_json_path=/path/to/sa.json # MySQL warehouse-ui connect --url "mysql://user:pass@localhost:3306/mydb" ``` ## Check Connection Status ```bash warehouse-ui status ``` ## Explore Schema ```bash # List all databases warehouse-ui schema list-databases # List tables in a database warehouse-ui schema list-tables --database mydb # Describe a table (columns, types, nullability) warehouse-ui schema describe users --database mydb ``` ## Run Queries ```bash # SQL as argument warehouse-ui query "SELECT * FROM users LIMIT 10" # With explicit limit warehouse-ui query --sql "SELECT count(*) FROM orders WHERE created_at > '2024-01-01'" --limit 1000 # From a SQL file warehouse-ui query --file path/to/report.sql ``` Output is JSON with columns, rows, row count, duration, and (for BigQuery) bytes processed and cost. ## Cost Estimation (Dry Run) Check query cost before executing — especially useful for BigQuery: ```bash warehouse-ui dry-run "SELECT * FROM big_dataset.events WHERE date > '2024-01-01'" ``` Returns: estimated bytes, estimated cost (USD), statement type, referenced tables, and warnings. ## AI-Powered Queries Generate SQL from natural language using a configured AI provider (set OPENAI_API_KEY or ANTHROPIC_API_KEY): ```bash # Generate SQL only warehouse-ui ai "show me the top 10 customers by total revenue" # Generate and execute warehouse-ui ai "find all orders from last week that were cancelled" --execute ``` ## List Saved Connections ```bash warehouse-ui connections ``` ## Query History ```bash warehouse-ui history --limit 10 warehouse-ui history --search "SELECT" ``` ## Disconnect ```bash warehouse-ui disconnect ``` ## Output Format All commands output JSON to stdout by default. Add `--format table` for human-readable output. Errors are JSON on stderr with exit code 1. ## Environment Variables - `DATABASE_URL` — Auto-connect without explicit `connect` step (supports postgres://, mysql://, sqlite://, mongodb://) - `OPENAI_API_KEY` — Required for `ai` command with OpenAI - `ANTHROPIC_API_KEY` — Required for `ai` command with Anthropic ## Tips - Set `DATABASE_URL` to skip the `connect` step entirely - Use `schema describe <table>` to understand table structure before querying - Use `dry-run` on BigQuery to check costs before executing expensive queries - Use `--limit` to control result size for large tables - Use `connections` to see databases already configured in the desktop app


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)