What problem does it solve? Vague, informal, or non-English prompts cause AI agents to hallucinate, skip reasoning, and produce inconsistent output. This Skill converts weak instructions into rigorously structured prompts with enforced reasoning steps and explicit constraints. ## Core Features & Use Cases - Structured Prompt Generation: Produces prompts with five mandatory XML blocks: role, system_context, agentic_reasoning, execution_rules, and output_format. - Input Validation & Typo Correction: Scans raw input for typos, nonsensical words, and ambiguity, halting with a clarification request when the clarity score falls below 3. - Bilingual Translation & Enrichment: Translates non-English or informal input into technical English and adds inferred edge cases, security implications, and architectural constraints marked as [INFERRED]. - Use Case: A manager pastes a rough request like "make the login faster and secure" and receives a complete system prompt defining the engineer persona, a mandatory reasoning_log before coding, and strict constraints such as forbidden placeholder code. ## Quick Start Ask the agent to refactor your rough prompt into a max-power instruction using the prompt-refactor skill.
