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db9

Provision serverless Postgres databases with JSONB, pgvector, and cron extensions.

Updated Aug 23, 2026
Search Tags:#serverless#sql#database-management#extensions#postgres#ai-agents
One-click install
npx skills add https://github.com/crazygit/dot-code-agents --skill db9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: db9
Source: https://github.com/crazygit/dot-code-agents/tree/main/claude/skills/db9
Command: npx skills add https://github.com/crazygit/dot-code-agents --skill db9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Serverless Postgres for AI agents eliminates the setup and maintenance burden of managing databases, enabling experiments and deployments with zero-config provisioning and automatic scaling.

Core Features & Use Cases

  • JSONB, vector search, HTTP extension, filesystem queries, cron jobs, and full-text search built directly into Postgres for AI workflows.
  • Create, query, branch, and manage databases from the terminal, enabling rapid experimentation and automated data processing for AI agents.
  • Use cases include interactive data exploration, model training data prep, and secure multi-tenant database provisioning for experiments, sandboxes, and production.

Quick Start

Install the CLI and run a single command to provision a new database.

Frequently Asked Questions about db9

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I provision a serverless Postgres database for AI agents?▼

Provisioning a serverless Postgres database for AI agents uses a zero-config setup via a single CLI command to instantly create secure, on-demand instances for development or production environments.

What built-in extensions are available for Postgres in AI workflows?▼

Available Postgres extensions for AI workflows include JSONB, HTTP, fs9, cron, full-text search, and pgvector, enabling direct vector capabilities, filesystem queries, and automated data processing within the database.

How do I manage database branching and querying from the terminal?▼

Database branching and querying from the terminal is handled through the CLI, allowing rapid experimentation, interactive data exploration, and automated SQL-based data processing for AI agent workflows.

Does zero-config serverless Postgres support vector search and multi-tenant provisioning?▼

Zero-config serverless Postgres supports vector search via pgvector and secure multi-tenant database provisioning, satisfying requirements for interactive data exploration, model training data prep, and sandboxed environments.

What is the best way to automate SQL-based tasks for AI workflows?▼

The best way to automate SQL-based tasks for AI workflows is using serverless Postgres with built-in cron jobs and HTTP extensions, enabling on-demand data processing and secure API access without maintenance burden.

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