prompt-optimizerlisted

# Prompt Optimizer v2.0 Helps users select the most suitable prompt framework for a given task context and generates clearer, more actionable prompts. --- ## Design Patterns This skill primarily uses: - **Reviewer**: First diagnose problems with the user's existing prompt or task description - **Inversion**: When information is insufficient, ask for goals, audience, constraints, and format before proceeding - **Generator**: Generate an optimized prompt based on the selected framework - **Validator**: Verify that the optimized result meets quality standards ## Gotchas - Don't jump straight to a framework — first determine whether the task actually needs a complex one - **CRITICAL — Don't over-engineer simple prompts**: If the user's input is a single sentence or has ≤ 3 elements (Step 1 complexity = Simple), use a Simple-tier framework (APE, ERA, TAG) and output the Basic version. Adding RACE/CRISPE/Chain-of-Thought to a "rewrite this sentence" request bloats the prompt and makes the AI's output worse, not better. Complexity inflation is the #1 quality risk in prompt optimization. - If the user only wants a quick polish on one sentence, don't force a long structured template - If goal, audience, or output format are unclear, ask only the minimum necessary questions - Explaining why you chose a framework is more valuable than listing many framework names - **Boundary handling**: If the user's input is completely unintelligible, guide them with examples - **Refusal handlin