Fable5.1 Prompt Architect
Turn vague needs into testable system prompts
Description
Turn vague requirements into production-ready system prompts. Drawing on patterns from Anthropic’s publicly available system prompts, this Skill uses a structured framework, “behavior + rationale + boundaries” triplets, precisely targeted example blocks, uncertainty fallbacks and trust tiers, probe testing, and failure-case feedback. It outputs a complete prompt, design rationale, and test probes.
Related Skills
View all
Meta-AFP Prompt Architect
An engineered meta-prompt generation system v3.0 based on the AFP (Auto-Flow Prompt) methodology. Transforms vague needs into runnable, reusable, iterative, and assetable system-level prompts—running like an operating system, thinking like an expert team, and as stable as military-grade products. Integrates a complete methodology including five generations of prompt evolution, three dimensions of content alchemy, six orchestration algorithms, dual-core/multi-core confrontation, hard rules for independence constraints, five audit principles, regression/stress testing, a security moat (separator isolation, sandwich defense, meta-instruction declaration, black-box encapsulation), a prompt evolution officer self-evolution mechanism, and the AFP asset valuation model (Expertise × Structure × Frequency). Suitable for creating high-value Skills in fields such as academic writing, legal audit, business analysis, content production, sales copywriting, knowledge management, and intelligent agents.
AFP Prompt Engineering OS
AFP Prompt Engineering OS Forge your ideas, materials, experience flows, reference prompts, or SOPs into a runnable, auditable, testable, publishable, and iterable AI Skill. This is not an ordinary prompt generator. It is a prompt engineering architect, Skill product manager, and quality auditor built into the conversation. Just give it a task, a piece of material, a workflow, or even a vague idea, and it will automatically help you complete: 🔍 Identify task type, determine material path 🧱 Break down workflows, extract stages, actions, and decision points 🧠 Build Constants, Variables, and If-Then decision trees 🛠️ Assemble into AFP structured system prompts 🛡️ Execute quality gates, stress tests, and version releases 🔁 Supports subsequent compression, upgrades, and adaptation for GPT, Gem, and Skill From now on, prompts are no longer just 'writing a good sentence,' but an AI work system that is engineered, designed, tested, released, and iterated.
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.
Fable5.1 Prompt Architect
Turn vague needs into testable system prompts
Description
Turn vague requirements into production-ready system prompts. Drawing on patterns from Anthropic’s publicly available system prompts, this Skill uses a structured framework, “behavior + rationale + boundaries” triplets, precisely targeted example blocks, uncertainty fallbacks and trust tiers, probe testing, and failure-case feedback. It outputs a complete prompt, design rationale, and test probes.
Related Skills
View allMeta-AFP Prompt Architect
An engineered meta-prompt generation system v3.0 based on the AFP (Auto-Flow Prompt) methodology. Transforms vague needs into runnable, reusable, iterative, and assetable system-level prompts—running like an operating system, thinking like an expert team, and as stable as military-grade products. Integrates a complete methodology including five generations of prompt evolution, three dimensions of content alchemy, six orchestration algorithms, dual-core/multi-core confrontation, hard rules for independence constraints, five audit principles, regression/stress testing, a security moat (separator isolation, sandwich defense, meta-instruction declaration, black-box encapsulation), a prompt evolution officer self-evolution mechanism, and the AFP asset valuation model (Expertise × Structure × Frequency). Suitable for creating high-value Skills in fields such as academic writing, legal audit, business analysis, content production, sales copywriting, knowledge management, and intelligent agents.
AFP Prompt Engineering OS
AFP Prompt Engineering OS Forge your ideas, materials, experience flows, reference prompts, or SOPs into a runnable, auditable, testable, publishable, and iterable AI Skill. This is not an ordinary prompt generator. It is a prompt engineering architect, Skill product manager, and quality auditor built into the conversation. Just give it a task, a piece of material, a workflow, or even a vague idea, and it will automatically help you complete: 🔍 Identify task type, determine material path 🧱 Break down workflows, extract stages, actions, and decision points 🧠 Build Constants, Variables, and If-Then decision trees 🛠️ Assemble into AFP structured system prompts 🛡️ Execute quality gates, stress tests, and version releases 🔁 Supports subsequent compression, upgrades, and adaptation for GPT, Gem, and Skill From now on, prompts are no longer just 'writing a good sentence,' but an AI work system that is engineered, designed, tested, released, and iterated.
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.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.