{"slug":"alirezarezvani-senior-prompt-engineer","source_name":"alirezarezvani/senior-prompt-engineer","name":"Alirezarezvani/Senior Prompt Engineer","description":"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.","version":1,"lift":{"pass_rate_delta_pts":52,"pass_rate_pct":84,"total_cases":25,"passed_cases":21,"tokens_delta_pct":86.8,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-11T10:35:43.174136+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":52,"with_pass_pct":84,"without_pass_pct":32,"tokens_delta_pct":86.8,"turns_delta_pct":0,"total_cases":25,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-11T10:35:43.174136+00:00","run_id":"0aac0cd4-77c5-42e6-9eff-af34817b5c7a","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"fbe3874e2fab2f5724ef357cfe28d3f126ab9eb853c808343ec99faeba8bd466","raw_url":"https://app.decimal.ai/s/alirezarezvani-senior-prompt-engineer/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/alirezarezvani-senior-prompt-engineer"}