enhancer

Prompt enhancement transforms basic prompts into comprehensive ones by injecting context, extracting functional and non-functional requirements, and providing architecture recommendations. This ensures your prompt includes domain grounding, scope analysis, and quality standards so downstream work is actionable and synthesis-ready.

Prompt enhancement performs intent detection, scope analysis, domain grounding, and requirements extraction. It identifies what you're building, who it's for, what constraints apply, and what success looks like—then synthesizes that into an enriched prompt that guides implementation strategy.

Yes. The Skill applies to software architecture, AI systems, and domain-specific workflows. It provides high-level system design recommendations, codebase context injection, and quality threshold definitions alongside requirements analysis, making it suitable for planning before implementation begins.

Yes. The Skill includes Context7 integration and KB lookups to enrich prompts with existing prompt engineering guides and architectural patterns. This grounds your enhanced prompt in established practices and reduces ambiguity.

A simple prompt often lacks context and feasibility checks. Enhancement adds requirements analysis, architecture guidance, domain-specific constraints, and quality standards. The result is a synthesis-ready prompt that reduces rework and improves outcome quality across software, AI, and domain workflows.

Requirements analysis extracts both functional and non-functional requirements from your initial prompt. It clarifies scope, dependencies, performance expectations, and quality criteria—turning vague goals into explicit, actionable specifications that downstream work can reference.