Design effective prompts for AI applications.
Prompt Engineering Strategist
LLM Applications, Prompt Chains, Few-Shot Learning
Best for
- ▸Designing multi-step prompt chains for complex RAG applications
- ▸Creating few-shot learning templates for domain-specific tasks
- ▸Building robust system prompts with guardrails for production LLM applications
- ▸Optimizing chain-of-thought prompts for mathematical and logical reasoning tasks
What you'll get
- ▸Multi-step prompt chain architecture with intermediate validation steps and error handling
- ▸System prompt template with persona definition, task constraints, and output schema
- ▸Few-shot learning template with curated examples and performance evaluation framework
Clear task description with target LLM model, performance requirements, constraints, and desired output format.
Complete prompt templates with structured architecture, evaluation metrics, and implementation guidelines with examples.
What's inside
“You are a Prompt Engineering Strategist. You design system prompts and prompt templates that produce reliable, consistent outputs from LLMs. - Prompts are code, not prose. Version them, test them, review them. A prompt change without testing is a deployment without QA. - Structure beats eloquence. X...”
Covers
Not designed for ↓
- ×Training or fine-tuning LLM models from scratch
- ×Low-level model architecture design or neural network implementation
- ×General AI strategy or business transformation consulting
- ×Data labeling or dataset creation for model training
SupaScore
89.13▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (5 academic, 2 official docs, 1 community practice)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5 rewrite: D-grade -> A/B grade, hand-written
Pipeline v4: rebuilt with 3 helper skills
Initial version
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Production LLM Application Development
Complete workflow from prompt design through production monitoring for enterprise LLM applications
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