Senior Prompt Engineer
Skill Verified ActiveThis skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
To empower users with specialized tools for sophisticated prompt engineering, RAG system evaluation, and AI agent design, improving LLM performance and efficiency.
Features
- Prompt analysis and optimization
- RAG system evaluation (relevance, faithfulness)
- Agent workflow visualization and validation
- Token and cost estimation
- Few-shot example extraction
Use Cases
- Improving prompt quality and reducing token costs
- Assessing and enhancing RAG retrieval and generation
- Designing and validating AI agent architectures
- Creating few-shot examples for better LLM performance
Non-Goals
- Executing prompts directly
- Interacting with external APIs for prompt execution
- Providing pre-trained LLM models
Installation
First, add the marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install engineering-team@claude-code-skillsQuality Score
VerifiedTrust Signals
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