benchflow-ai

sql

@benchflow-ai/sql
benchflow-ai
230
165 forks
Updated 1/18/2026
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Sql standards for sql in Database environments. Covers best practices,

Installation

$skills install @benchflow-ai/sql
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathregistry/terminal_bench_1.0/pandas-sql-query/environment/skills/sql/SKILL.md
Branchmain
Scoped Name@benchflow-ai/sql

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: sql description: Sql standards for sql in Database environments. Covers best practices,

Sql

Quick Navigation: Level 1: Quick Start (5 min) → Level 2: Implementation (30 min) → Level 3: Mastery (Extended)


Level 1: Quick Start

Core Principles

  1. Best Practices: Follow industry-standard patterns for database
  2. Security First: Implement secure defaults and validate all inputs
  3. Maintainability: Write clean, documented, testable code
  4. Performance: Optimize for common use cases

Essential Checklist

  • Follow established patterns for database
  • Implement proper error handling
  • Add comprehensive logging
  • Write unit and integration tests
  • Document public interfaces

Quick Links to Level 2


Level 2: Implementation

Core Concepts

This skill covers essential practices for database.

Key areas include:

  • Architecture patterns
  • Implementation best practices
  • Testing strategies
  • Performance optimization

Implementation Patterns

Apply these patterns when working with database:

  1. Pattern Selection: Choose appropriate patterns for your use case
  2. Error Handling: Implement comprehensive error recovery
  3. Monitoring: Add observability hooks for production

Common Pitfalls

Avoid these common mistakes:

  • Skipping validation of inputs
  • Ignoring edge cases
  • Missing test coverage
  • Poor documentation

Level 3: Mastery Resources

Reference Materials

Templates

See the templates/ directory for starter configurations.

External Resources

Consult official documentation and community best practices for database.