Optimizes AI prompts by applying architecture-specific techniques for autoregressive and reasoning-based models.
Prompt Craft is a specialized skill designed to help developers engineer high-performance prompts tailored to specific AI model architectures. It bridges the performance gap between traditional autoregressive models like Claude or GPT-4 and internal reasoning models like o1 or Gemini Deep Think. By providing structured patterns such as chain-of-thought, triangulation constraints, and scenario injection, this skill ensures that your AI interactions are optimized for the specific way each model processes information, leading to more accurate, rigorous, and domain-specific outputs.
主な機能
01Architecture-specific prompting strategies for Claude, GPT-4, and o1
024 GitHub stars
03Chain-of-thought and structured reasoning implementation
04Search space constraint patterns for reasoning models
05Scenario injection for high-stakes simulation and debugging
06Triangulation techniques to synthesize conflicting hypotheses
ユースケース
01Optimizing technical code generation through negative constraints
02Adapting existing prompts for next-generation reasoning models
03Designing robust system prompts for complex AI agents
