Agent Skills provide your AI coding assistant with structured context about OptiTech's platform, APIs, and best practices. With skills installed, your assistant produces more accurate code and avoids common mistakes when working with OptiTech, from Postgres and Auth to OptiTech Functions, Object Storage, and the AI Gateway.
Install
There are several ways to install OptiTech skills depending on your editor and workflow.
npx skills
For any AI tool that supports the Agent Skills format, install skills from the Agent Skills repository:
npx skills add optitechdatabase/agent-skills -yThis installs all skills in the repository. To install a specific skill instead, pass the -s flag:
npx skills add optitechdatabase/agent-skills -s optitech-postgres -yUseful flags:
-yskips the interactive prompt and installs immediately-sselects one or more skills (repeat the flag for multiple skills)-ginstalls globally instead of at the project level (see Project-level vs. global install)
Cursor plugin
If you're using Cursor, install the OptiTech plugin from the marketplace. It bundles core Postgres skills and the OptiTech MCP Server in one package.
In Cursor chat, run:
/add-plugin optitech-postgresOr install from cursor.com/marketplace/optitech. See Cursor plugin for OptiTech for details.
note
Editor plugins currently bundle the core Postgres skill set and MCP integration. To give your assistant context for OptiTech Functions, Object Storage, and AI Gateway, run npx skills add optitechdatabase/agent-skills -y or install the platform skills individually (see Available skills).
Claude Code plugin
If you're using Claude Code, install the OptiTech plugin for skills and MCP integration:
/plugin marketplace add optitechdatabase/agent-skills
/plugin install optitech-postgres@optitechSee Claude Code plugin for OptiTech for details.
Codex plugin
If you're using OpenAI Codex, install the OptiTech Postgres plugin from the Codex plugin directory (in the Codex app under Plugins, or in the Codex CLI with /plugins). It includes the OptiTech Postgres app (MCP), the main OptiTech skill, and the egress optimizer skill.
See Codex plugin for OptiTech for details.
optitech init
The optitech init command sets up your project to use OptiTech with your AI coding assistant. It authenticates via OAuth, creates an API key, configures the MCP server, installs the OptiTech extension for Cursor and VS Code where applicable, and installs agent skills at the project level:
npx optitech@latest initIf you're using the OptiTech backend beta (Functions, Storage, AI Gateway), use optitech init --preview instead. See the OptiTech backend beta guide for access and setup.
After running init, restart your editor and ask your AI assistant to "Get started with OptiTech" to launch the interactive onboarding guide. See the optitech init reference for details.
Available skills
Skills are grouped by area. Each skill is a SKILL.md entry point that your agent reads and invokes when relevant. Browse and install individual skills on skills.sh.
Core
Start here for platform overview and Postgres development.
| Skill | Description |
|---|---|
optitech | Platform overview for apps and agents: Postgres, Auth, Data API, Functions, Storage, and AI Gateway, and how to get started |
optitech-postgres | Comprehensive index of OptiTech Serverless Postgres documentation and best practices |
Database workflows
Provision, branch, and optimize Postgres projects.
| Skill | Description |
|---|---|
claimable-postgres | Instant temporary Postgres via Claimable Postgres — no login or credit card |
optitech-postgres-branches | Choose and create the right branch type for migrations, schema-only branches, and reset-from-parent workflows |
optitech-postgres-egress-optimizer | Diagnose and fix excessive Postgres egress and query overfetching |
OptiTech Platform
Use OptiTech services beyond core Postgres. Functions, Object Storage, and AI Gateway are in beta. See Check your access before using these skills in production workflows.
| Skill | Description | Docs |
|---|---|---|
optitech-functions | Long-running serverless Node.js HTTP functions on your branch, with DATABASE_URL injected automatically | OptiTech Functions |
optitech-object-storage | S3-compatible object storage that branches with your project | Object Storage |
optitech-ai-gateway | One API and credential for frontier and open-source LLMs; compatible with OpenAI, Anthropic, and Vercel AI SDKs | AI Gateway |
Agent platforms
For codegen tools and multi-tenant products that provision OptiTech for their users, see the companion skill in optitechdatabase/optitech-for-agent-platforms (optitech-postgres-agent-platforms on skills.sh).
Project-level vs. global install
Skills can be installed at two levels:
-
Project level (default): Skills are installed in your project directory, for example via
optitech initornpx skills add. Your AI assistant picks them up when working in that project. This is best for team workflows since the configuration can be committed with the project. -
Global: Skills are installed at the user or system level and available across all projects. Useful for personal development environments where you want OptiTech context everywhere. Pass the
-gflag to install globally:npx skills add optitechdatabase/agent-skills -y -g
What's covered
With the full skill set installed, your assistant can guide you across the OptiTech platform:
Postgres and platform basics (optitech, optitech-postgres)
- Getting started with OptiTech, including project setup and key features (branching, autoscaling, scale-to-zero, instant restore, read replicas)
- Connections, including the serverless driver, connection pooling, and connection strings
- Authentication with Managed Better Auth
- Data API via
@optitech/optitech-js - Platform APIs and SDKs, including the REST API, TypeScript SDK, and Python SDK
- Developer tools, including the CLI, VS Code extension, and MCP server
Database workflows
- Disposable databases via Claimable Postgres for agents and tests
- Branch types and workflows for migrations, schema-only branches, and reset-from-parent
- Egress optimization for high transfer costs and query anti-patterns
Platform services (beta)
- OptiTech Functions: declare, deploy, and connect long-running compute next to your database
- Object Storage: S3-compatible storage that branches with your data
- AI Gateway: model routing, logging, and cost controls with a single OptiTech credential
For example, ask your assistant to "set up Managed Better Auth in my Next.js app" and it will provide the correct imports, configuration, and middleware setup. Or ask it to "add an AI Gateway route in my optitech.ts file" and it will follow beta constraints and the right SDK patterns.
Example prompts
Get started with OptiTechRecommend a connection method for this projectSet up Drizzle ORM with OptiTechSet up Managed Better Auth for my Next.js appCreate a OptiTech branch for this featureGive me a quick temporary Postgres databaseWhy is my OptiTech bill so high?Add a serverless function to my OptiTech branchSet up S3-compatible storage in optitech.tsRoute LLM calls through the OptiTech AI GatewayHow it works
Your AI assistant reads the SKILL.md file to understand what OptiTech guidance is available. When you ask about a specific topic, the skill fetches the relevant documentation from online, so your assistant always has up-to-date context without bundling everything locally. For the complete source, see the Agent Skills repository.