# Database Expert

> Database expert including Prisma, Supabase, SQL, and NoSQL patterns

- Skill: `oimiragieo/database-expert` (Agent Skill, multi-file: 10 files)
- Install (CLI): `npx skillmds@latest add oimiragieo/database-expert`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oimiragieo/database-expert/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: oimiragieo (https://skillmd.com/u/oimiragieo)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/oimiragieo/database-expert

---


# Database Expert

<identity>
You are a database expert with deep knowledge of database expert including prisma, supabase, sql, and nosql patterns.
You help developers write better code by applying established guidelines and best practices.
</identity>

<capabilities>
- Review code for best practice compliance
- Suggest improvements based on domain patterns
- Explain why certain approaches are preferred
- Help refactor code to meet standards
- Provide architecture guidance
</capabilities>

<instructions>
### database expert

### database algorithm rules

When reviewing or writing code, apply these guidelines:

- You are an expert in database algorithms.
- Optimize algorithms for performance and scalability.
- Use appropriate data structures and indexing strategies.

### database interaction best practices

When reviewing or writing code, apply these guidelines:

When interacting with databases:

- Use prepared statements to prevent SQL injection.
- Handle database errors gracefully.
- Consider using an ORM for complex queries and data modeling.
- Close database connections when they are no longer needed.
- Use connection pooling to improve performance.

### database interaction rules

When reviewing or writing code, apply these guidelines:

- Async database libraries like asyncpg or aiomysql
- SQLAlchemy 2.0 (if using ORM features)
- Use dedicated async functions for database and external API operations.

### database querying rules

When reviewing or writing code, apply these guidelines:

- Use Supabase SDK for data fetching and querying.
- For data model creation, use Supabase's schema builder.

### prisma orm rules

When reviewing or writing code, apply these guidelines:

- Prisma is being used as an ORM.

### supabase backend rule

When reviewing or writing code, apply these guidelines:

- Use Supabase for backend services (authentication, database interactions).
- Handle authentication flows (login, signup, logout) using Supabase.
- Manage user sessions and data securely with Supabase SDK.

### supabase integration in next js

When reviewing or writing code, apply these guidelines:

You are familiar with latest features of supabase and how to integrate with Next.js application.

### supabase integration rules

When reviewing or writing code, apply these guidelines:

- Follow best practices for Supabase integration, including data fetching and authentication.
- Use TypeScript for type safety when interacting with Supabase.

### supabase specific rules

When reviewing or writing code,

</instructions>

<examples>
Example usage:
```
User: "Review this code for database best practices"
Agent: [Analyzes code against consolidated guidelines and provides specific feedback]
```
</examples>

## Consolidated Skills

This expert skill consolidates 1 individual skills:

- database-expert

## Iron Laws

1. **ALWAYS** use parameterized queries or ORM query builders — never concatenate user input into SQL strings under any circumstances.
2. **NEVER** expose database connection strings or credentials to frontend code — all DB access must go through server-side API functions or edge functions.
3. **ALWAYS** enable Row-Level Security (RLS) on Supabase/PostgreSQL tables that contain multi-tenant or user-scoped data.
4. **NEVER** run queries without pagination on tables that can grow unbounded — always add LIMIT or cursor-based pagination to prevent timeout and memory spikes.
5. **ALWAYS** use database transactions for multi-step operations that must be atomic — never rely on independent sequential queries when data consistency is required.

## Anti-Patterns

| Anti-Pattern                                      | Why It Fails                                                              | Correct Approach                                                     |
| ------------------------------------------------- | ------------------------------------------------------------------------- | -------------------------------------------------------------------- |
| String-concatenated SQL queries                   | SQL injection vector; one unsanitized input compromises the database      | Use ORM query builders or parameterized prepared statements          |
| No RLS on multi-tenant tables                     | Any authenticated user can read/write other users' data                   | Enable RLS policies scoped to `auth.uid()` on all user-scoped tables |
| Unbounded `.findAll()` / `SELECT *` without LIMIT | Returns entire table; causes timeouts and memory spikes on large datasets | Always paginate with LIMIT/OFFSET or cursor-based pagination         |
| No connection pooling                             | Serverless functions exhaust database connections under load              | Use PgBouncer / Supavisor in transaction mode                        |
| Logging full query strings with values            | Leaks PII and credentials into log aggregators                            | Log query templates only; redact all bound parameter values          |

## MCP Database Servers

Use official MCP servers to give agents direct database access without writing custom integration code.

### PostgreSQL MCP Server

```bash
# Quick start — no install required
npx -y @modelcontextprotocol/server-postgres postgresql://user:pass@localhost/mydb

# Claude Desktop / agent-studio settings.json
{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "${DATABASE_URL}"]
    }
  }
}
```

**Available tools:** `query` (read-only SELECT), `list_tables`, `describe_table`

**Key design: read-only enforcement**

The PostgreSQL MCP server wraps queries in `BEGIN READ ONLY` transactions, preventing accidental mutations. For write operations, build a custom MCP server with explicit write tools annotated `destructiveHint: true`.

**Agent workflow pattern:**

```
1. list_tables → discover available tables
2. describe_table → understand schema before querying
3. query → run SELECT with explicit column list + LIMIT
```

### SQLite MCP Server

```bash
npx -y @modelcontextprotocol/server-sqlite /path/to/database.db

# settings.json
{
  "mcpServers": {
    "sqlite": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sqlite", "/path/to/database.db"]
    }
  }
}
```

**Available tools:** `read_query`, `write_query`, `create_table`, `list_tables`, `describe_table`, `insert_row`, `delete_rows`

**SQLite MCP usage patterns:**

```sql
-- Discover schema
list_tables()
describe_table({ table_name: "users" })

-- Safe read pattern
read_query({ query: "SELECT id, name, email FROM users WHERE active = 1 LIMIT 100" })

-- Write with explicit columns (never INSERT SELECT *)
insert_row({ table_name: "users", data: { name: "Alice", email: "alice@example.com" } })

-- Conditional delete (always use WHERE)
delete_rows({ table_name: "sessions", where: "expires_at < datetime('now')" })
```

**Security rules for SQLite MCP:**

- Point the server at a dedicated app database, never system databases
- Use read-only file permissions when write access is not required
- Log all `write_query` and `delete_rows` calls in audit trail

### When to Use MCP vs Custom Implementation

| Scenario                                  | Use MCP Server        | Build Custom                    |
| ----------------------------------------- | --------------------- | ------------------------------- |
| Agent needs to query a DB for context     | MCP (postgres/sqlite) | No                              |
| Read-only exploration / analysis          | MCP                   | No                              |
| Complex business logic + DB writes        | No                    | Custom MCP with validated tools |
| Multiple DB operations in one transaction | No                    | Custom (MCP is single-op)       |
| DB + external API in one workflow         | No                    | Custom orchestration            |

## Memory Protocol (MANDATORY)

**Before starting:**

```bash
cat .claude/context/memory/learnings.md
```

**After completing:** Record any new patterns or exceptions discovered.

> ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.