Generative AI Application Designer

Architect production-grade AI applications with prompt chaining, agent patterns, guardrails, cost optimization, and multimodal capabilities for reliable LLM-powered systems.

Platinum

v1.0.00 activationsAI & Machine LearningTechnologyexpert

SupaScore

85.05

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.8

Completeness (10%)

8.5

User Satisfaction (20%)

8.3

Decision Usefulness (15%)

8.5

Best for

▸Architecting multi-step AI workflows with prompt chaining for complex business processes
▸Implementing ReAct agent patterns with tool integration for autonomous task execution
▸Designing cost-optimized LLM routing strategies across model tiers for production workloads
▸Building robust guardrail systems with Constitutional AI principles for enterprise deployments
▸Creating multimodal AI applications combining text, vision, and code generation capabilities

What you'll get

●Detailed architectural diagrams showing prompt chain flows, agent decision trees, and tool integration patterns with specific model assignments
●Production-ready code templates with context management, error handling, streaming implementations, and cost tracking mechanisms
●Comprehensive guardrail specifications with input validation rules, output filters, and safety monitoring dashboards

Not designed for ↓

×Fine-tuning custom models or training new neural network architectures
×Basic single-prompt ChatGPT usage or simple chatbot implementations
×General machine learning model development outside of LLM applications
×Low-level infrastructure deployment without AI application context

Expects

Clear business requirements including reliability needs, latency constraints, cost budgets, and specific input/output types for the AI application.

Returns

Complete application architecture with prompt chains, agent patterns, context management strategies, guardrail implementations, and production deployment considerations.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

generative-aillm-applicationsprompt-chainingagent-architectureguardrailsai-safetycost-optimizationstreamingmultimodal-aireact-patterntool-usecontext-managementrag

Research Foundation: 8 sources (3 official docs, 3 paper, 1 web, 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

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Prompt Engineering StrategistGold

Works well with

AI Cost OptimizerPlatinum AI Guardrails EngineerGold LLM Observability EngineerGold Multi-Agent OrchestratorPlatinum Prompt Chain ArchitectGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

LLM Fine-Tuning StrategistGold AI Red Teaming SpecialistGold Vector Database OptimizationGold

Common Workflows

Production AI Application Pipeline

Complete pipeline from initial AI application design through safety implementation, monitoring setup, and cost optimization for production deployment

generative-ai-application-designer→AI Guardrails Engineer→LLM Observability Engineer→AI Cost Optimizer

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