System Prompt Architect
Design, structure, and optimize production-grade system prompts for large language models using proven architectural patterns, research-backed techniques, and adversarial testing methodologies.
SupaScore
85.65Best for
- ▸Design production-ready system prompts for customer support chatbots handling complex multi-step workflows
- ▸Architect prompts for content generation APIs that need consistent brand voice across thousands of outputs
- ▸Build adversarial-resistant prompts for financial AI assistants processing sensitive transaction data
- ▸Create role-based prompt frameworks for enterprise AI tools with different user permission levels
- ▸Optimize existing prompts that suffer from inconsistent outputs or frequent prompt injection attacks
What you'll get
- ●Multi-section system prompt with persona definition, 8-step methodology, 6 explicit guardrails, failure handling patterns, and structured output format specifications
- ●Comprehensive prompt architecture document including primary prompt, fallback responses, security constraints, and edge case handling for production deployment
- ●Role-based prompt framework with conditional logic, domain-specific terminology integration, and adversarial testing scenarios with mitigation strategies
Not designed for ↓
- ×Writing one-off creative prompts for personal ChatGPT conversations
- ×General AI strategy or model selection decisions
- ×Training or fine-tuning language models themselves
A clear description of the AI system's intended behavior, target users, input types, and specific production constraints or failure modes to address.
A structured, production-ready system prompt with explicit role definition, step-by-step methodology, domain-specific guardrails, and comprehensive failure handling patterns.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (3 academic, 3 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Works well with
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Common Workflows
Enterprise AI Assistant Development
Complete workflow for building production-ready AI assistants from initial prompt design through security testing and performance evaluation
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