# The 12 Enterprise System Prompt Packs

Category: Context & Config
Stack: System Prompts, Role/Goal/Constraint Formats

## Overview
A proven collection of structured prompt packs spanning technical architecture, schema extraction, business logic audits, and adversarial testing.

## The Problem
Vague, conversational prompts produce generic answers with unpredictable output shapes and missing boundary checks.

## Production Rule
Structure every system prompt using the strict sequence: Role -> Objective -> Context -> Constraints -> Output Schema. Include explicit negative rules.

## Code / Specification
File: `system_prompt_structure.md`

```prompt engineering
# SYSTEM ROLE
You are a Principal AI Systems Engineer specializing in high-throughput data pipelines.

# OBJECTIVE
Audit the provided Python ETL pipeline for concurrency bottlenecks and memory leaks.

# CONSTRAINTS
- Propose changes only in standard library Python or existing project dependencies.
- Do not modify database schema definitions.
- Return findings categorized strictly by Severity: High, Medium, Low.

# OUTPUT FORMAT
Return a valid JSON object matching the AuditReport schema.
```