Prompt Architecting

关于

Prompt Architecting is a sophisticated Claude Code skill designed to transform raw, unstructured instructions into high-performance prompts. By applying a research-validated complexity scoring system and selecting from over 15 distinct strategies, it identifies bloat, reduces hallucination risks, and ensures prompts are formatted for maximum cognitive clarity. Whether you are building autonomous agents, complex workflows, or simple documentation tasks, this skill provides the architectural framework necessary to ensure your AI instructions are concise, constrained, and structurally sound.

主要功能

• Detection and removal of 'prompt bloat' and common instruction anti-patterns
• Architecture-aware refactoring to align prompts with specific organizational standards
• Research-validated complexity scoring to determine optimal prompt structure
• Dual-mode functionality: OPTIMIZE for rewriting and CONSULT for deep analysis
• Library of 15+ specialized strategies including Directive Hierarchy and EFC patterns
• 0 GitHub stars

使用场景

• Analyzing existing prompts to identify structural weaknesses or ambiguity
• Refining complex multi-step workflows to prevent over-generation and token waste
• Standardizing team-wide prompting patterns using specific architecture references