---

name: senior-prompt-engineer description: Use when Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, o...

Senior Prompt Engineer

Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, or design structured-output contracts. Covers eval-driven prompt iteration, RAG metrics (relevance, faithfulness, coverage), agent workflow validation, and token/cost budgeting — all model-agnostic, with three stdlib Python tools. — One of 337+ skills in Ali Reza's multi-agent claude-skills collection (Claude, Codex, Gemini, Hermes; ~19k stars).

What you get

• Public GitHub repo (alirezarezvani/claude-skills)
• the senior-prompt-engineer skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

• Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Senior Prompt Engineer; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.