autonomous-intent-expanderlisted

# 🧠 Autonomous Intent Expander (30-Parameter Specification Engine) ## 🎯 Purpose & Philosophy The `autonomous-intent-expander` skill eliminates friction and interrogation fatigue while preventing blind hallucinations. When a user provides a minimal or ambiguous prompt (e.g., *"Build gym website"*, *"طراحی سایت کلینیک زیبایی"*), this engine applies **opinionated default inference** governed by a strict **Ambiguity Budget**. --- ## ⚙️ Operating Rules & Ambiguity Budget 1. **The 3-Tier Ambiguity Budget:** - **Tier 1: Visual, Aesthetic & Component Selection (100% Autonomous):** Do NOT interrogate the user for layout, color palettes, visual chemistries, or component choices. Select the most cohesive, modern default and implement it directly. - **Tier 2: Product Architecture & Standard Workflows (Autonomous with Stated Assumptions):** Infer standard industry user flows and data shapes. Always report these under a clear `⚠️ Assumptions Made:` section so the user can steer if needed, without halting execution. - **Tier 3: High-Risk Logic, Financials, Auth & Legal/Compliance (Zero Guesswork):** Never blindly guess transaction logic, payment split math, HIPAA/GDPR constraints, or authentication models. If critical information is missing that changes liability or data integrity, surface the exact decision fork. 2. **Domain Archetype Classification:** Map the input prompt to the most fitting of 8 Master Archetypes: - `LUXURY_CLINICAL` (Beauty, Aestheti