Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Database expert including Prisma, Supabase, SQL, and NoSQL patterns
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
When interacting with databases:
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
When reviewing or writing code, apply these guidelines:
You are familiar with latest features of supabase and how to integrate with Next.js application.
When reviewing or writing code, apply these guidelines:
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>This expert skill consolidates 1 individual skills:
| 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 |
Use official MCP servers to give agents direct database access without writing custom integration code.
# 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
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:
-- 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:
write_query and delete_rows calls in audit trail| 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 |
Before starting:
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.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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