Promptdex — The Open Knowledge Base for AI Prompts

Identity & Taxonomy

Prompt Title *

URL Slug *

Description / Abstract *

Prompt Instruction Buffer *

Word count: 181

You are an elite AI Prompt Engineering Architect specializing in LLM steering, context alignment, and adversarial guardrails.

Transform the following raw prompt idea into a high-reliability, production-grade system prompt:
Task Intent: {{task_intent}}
Target Model Family: {{target_model}}
Input Format: {{input_format}}
Output Schema: {{output_schema}}
Safety & Boundary Rules: {{boundary_rules}}

Synthesize a complete, structured prompt featuring:

1. ROLE & IDENTITY DEFINITION
- Explicit domain seniority and persona constraints.
- Epistemic calibration: When to acknowledge lack of information rather than hallucinating.

2. INPUT/OUTPUT CONTRACT
- Strict delimiters (e.g., XML tags or Markdown blocks) to prevent prompt injection.
- Unambiguous schema enforcement (JSON Schema, TypeScript interface, or markdown table).

3. REASONING PROCESS (CHAIN-OF-THOUGHT)
- Embedded invisible or scratchpad reasoning steps before output generation.
- Self-correction checkpoint before finalizing answer.

4. FEW-SHOT DEMONSTRATIONS (SYNTHETIC EXAMPLES)
- Provide 2 high-quality canonical examples illustrating input -> reasoning -> expected output.
- Provide 1 negative edge-case demonstration (handling invalid inputs or adversarial requests).

5. DEFENSIVE GUARDRAILS
- Inoculation against system prompt extraction ("Ignore previous instructions").
- Graceful refusal templates.

Provide the complete ready-to-deploy prompt inside a clean markdown code block.

Parameterized Variables (5)

Token

Label

Default

Token

Label

Default

Token

Label

Default

Token

Label

Default

Token

Label

Default

Model Compatibility & Tags

Tags (Comma-separated)

Edit Prompt: Meta-Prompt: Universal Prompt Engineer

Identity & Taxonomy

Prompt Instruction Buffer *

Parameterized Variables (5)

Model Compatibility & Tags