Layer-by-Layer Prompt Workshop
Description
Transforms vague requirements into well-structured, logically coherent high-quality prompts. Built on the 'Constants + Variables + Algorithms' model and the 'Onion Peeling' method, it supports 6 arrangement schemes, 4 output formats, automatic decision matrix matching, and features an iterative verification closed-loop and anti-pattern warnings.
Related Skills
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ResearchAFP Super Prompt Architect
Based on the Auto-Flow Prompt methodology, this Skill transforms vague requirements into super prompts with programmatic execution, SOP workflows, multi-core adversarial checks, and panoramic dashboards. It automatically assesses task complexity and outputs a lightweight or full-scale AFP architecture as needed.
AFP Prompt Architect
AFP Prompt Architect is an intelligent tool designed to help users transform vague business needs into automated AFP (Auto-Flow Prompt) super prompts. Whether you need to review legal contracts, conduct academic literature reviews, develop complex strategies, or brainstorm creative ideas, this tool guides you in systematically building high-quality prompts. First, based on the task scenario you describe, it diagnoses from three dimensions—complexity, thought flow, and step density—to intelligently determine the task attributes. Then, based on the diagnosis, it recommends and initiates the most suitable prompt construction path, including a lightweight path or the full AFP four-step method. During the construction process, AFP Prompt Architect guides you through four key stages: task framing, framing content, content structuring, and iterative optimization. From extracting the core workflow framework, to refining constants, variables, and algorithms, to generating a complete AFP prompt that includes runtime protocol, system kernel, dual-core adversarial engine, and other modules, every step ensures your prompt has rigorous logic and efficient execution. Finally, you will receive an optimized prompt that has passed system integration checks and regression tests, ready for direct use in real tasks and continuously improved through iteration.
AI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
Layer-by-Layer Prompt Workshop
Description
Transforms vague requirements into well-structured, logically coherent high-quality prompts. Built on the 'Constants + Variables + Algorithms' model and the 'Onion Peeling' method, it supports 6 arrangement schemes, 4 output formats, automatic decision matrix matching, and features an iterative verification closed-loop and anti-pattern warnings.
Related Skills
View allResearchAFP Super Prompt Architect
Based on the Auto-Flow Prompt methodology, this Skill transforms vague requirements into super prompts with programmatic execution, SOP workflows, multi-core adversarial checks, and panoramic dashboards. It automatically assesses task complexity and outputs a lightweight or full-scale AFP architecture as needed.
AFP Prompt Architect
AFP Prompt Architect is an intelligent tool designed to help users transform vague business needs into automated AFP (Auto-Flow Prompt) super prompts. Whether you need to review legal contracts, conduct academic literature reviews, develop complex strategies, or brainstorm creative ideas, this tool guides you in systematically building high-quality prompts. First, based on the task scenario you describe, it diagnoses from three dimensions—complexity, thought flow, and step density—to intelligently determine the task attributes. Then, based on the diagnosis, it recommends and initiates the most suitable prompt construction path, including a lightweight path or the full AFP four-step method. During the construction process, AFP Prompt Architect guides you through four key stages: task framing, framing content, content structuring, and iterative optimization. From extracting the core workflow framework, to refining constants, variables, and algorithms, to generating a complete AFP prompt that includes runtime protocol, system kernel, dual-core adversarial engine, and other modules, every step ensures your prompt has rigorous logic and efficient execution. Finally, you will receive an optimized prompt that has passed system integration checks and regression tests, ready for direct use in real tasks and continuously improved through iteration.
AI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
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