The GLM-4.7 Prompting Guide is a specialized capability designed to maximize the performance of the GLM-4.7 Mixture-of-Experts model within the Claude Code environment. It provides developers with domain-specific guidance on leveraging the model's 200K context window and advanced Thinking modes—interleaved, preserved, and turn-level. By utilizing structured prompt patterns and a multi-agent ensemble approach (Analyst, Reviewer, Optimizer, and Security), this skill enables more precise code analysis, robust security auditing, and high-performance refactoring, ensuring that AI-driven development tasks are executed with professional-grade depth and accuracy.
主な機能
01Role-based prompting patterns for specialized engineering personas
02Structured Few-shot learning examples for consistent model output
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04Multi-agent ensemble strategies for comprehensive code reviews
05Specialized Thinking mode configurations for complex reasoning tasks
06Context optimization templates to manage large codebases efficiently
